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null | Senior Data Scientist, Business Intelligence | Spring Health | New York, NY | null | null | About the job
Our mission: to eliminate every barrier to mental health.
Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person — whether that’s meditation, coaching, therapy, medication, and beyond.
Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like General Mills, Guardian, Bain, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.
Data is our most valuable asset at Spring Health. We’re continuing to grow our Business Intelligence (BI) team to ensure we can effectively use all of that data to eliminate every barrier to mental health more quickly and completely. In this role you will get to partner with two new product teams at Spring, helping them to build their approach to data largely from the ground up.
What You’ll Be Doing
Act as a partner with internal teams to proactively translate their data questions into actionable dashboards that drive teams’ decisions and behavior
Develop a deep understanding of our products and operations, and how they tie into Spring Health’s business context
Contribute to the team’s overall Looker strategy, improving our design for how we organize the models and views of our data
Collaborate with the BI and data engineering teams to implement the Looker design we develop
Prioritize inbound requests from multiple teams, using business context and collaboration with stakeholders to determine the order in which to approach problems
Collaborate with teams to understand our business, help craft KPIs and then create reports to measure them
What We Expect From You
You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have 5+ years of working experience working with data, data visualization, and dashboarding tools
You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate
You are an expert in SQL, and are willing to roll up your sleeves and dive into writing some modeling code in DBT when the data you need isn’t already available.
You’re comfortable using languages like R or Python to do more advanced data analysis
You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards
You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders
You have exceptional communication skills, and are comfortable working independently with executive level team members
You are humble, highly motivated, and thrive in fast-paced environments
You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
You have a passion for successfully navigating ambiguous problem areas and learning new approaches
What We'd Love To See (Bonus)
You don’t take no for an answer, and enjoy finding work arounds for limitations in data to get stakeholders the answers they need
You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc)
You have experience using any of the following data: EMR, clinical trials, claims data
You have operated in a role that required interaction with customers
The target salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!
Ready to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values
Hypergrowth meets impact
What To Expect Working Here
You will be held accountable to an exceptionally high bar and impact
This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
You will be challenged to set and protect your own boundaries
You will create processes & products that have never existed before
You will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be
Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows
And…
You get to be surrounded by some of the brightest minds in the field
You get to learn and grow at an extremely accelerated pace
You will experience transparency, integrity, & humility from leadership
You will be empowered to constantly challenge the status quo
You get the space to experiment & innovate
You get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly
You will become more resourceful and resilient
You get to be part of a winning team that opens doors in the future
Benefits Provided By Spring Health
Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Flexible paid time off in addition to 12 paid holidays throughout the year
$500 per year Wellness Reimbursement
Spring Health provides access to QuitGenius, a platform with technology-tailored, personalized addiction treatment plans for substance use (*QG is available to benefit-enrolled employees, spouses, and dependents age 18+)
Supporting You And Your Family
4-4.5 months of fully paid parental leave
Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.
Access to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience.
Supporting You Financially Through
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
Employer sponsored 401(k) match of up to 2% after 90 days of employment
Creating a Culture You Can Thrive In
Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Calm Fridays: no meetings, no distractions, just time for you to get work done.
Up to $1,000 Professional Development Reimbursement per calendar year. Any requests over $250 must be requested for pre-approval prior to enrollment by sending an email to the People Team.
$200 per year donation matching to support your favorite causes
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know. | 2023-03-09 |
null | Senior Test Engineer - Research Operations Engineer | Science and Technology Corporation (STC) | Edwards, CA | null | null | About the job
OVERVIEW
This position provides support to the Operations Engineering Branch (Code 430) at the
NASA Armstrong Flight Research Center (AFRC), which is instrumental in evaluating,
coordinating, and implementing both project and maintenance operational requirements
for all aircraft /flight vehicles, unmanned aircraft systems (UAS), and aircraft assets.
Code 430 holds the technical authority for airworthiness and is thereby responsible for
ensuring airworthiness of aircraft and its systems as well as mission success where
AFRC has responsibility. In fulfilling this role, Code 430 leads and manages the aero-
mechanical design, drawing, configuration control, integration, and system test for all
aircraft and unmanned aircraft systems. It also supports technical and programmatic risk
assessment, evaluation and dispositioning of manufacturer maintenance deviations,
mission planning, mission control/director, and advises flight operations concerning
engineering and operational issues, as well as aircraft technical requirements.
RESPONSIBILITIES
Successful candidate will
Ensure airworthiness of aircraft and its systems as well as mission success where NASA AFRC has responsibility
Serve as the NASA Armstrong Flight Operations Directorate representative for the project
Perform market surveys to support component product selection, cost, availability, fit to requirements, delivery estimates, multiple sources, comparisons
Prepare documentation as needed for procurement, Statement of Work, definition of spares, needed Peripheral product documentation (e.g., mounting dimensions drawing, signal I/O, schematics, functional descriptions/architecture, certifications, etc.)
Conduct periodic work schedule meetings with engineering and flight operations personnel to integrate flight vehicle maintenance and configuration changes into detailed flight preparation schedules that will accomplish desired mission objectives and operational requirements
Develop or assist in the development of flight vehicle and UAS documentation to include: Fact Sheets, Weight and Balance Worksheets, Procedures, Checklists, Flight Cards, Maintenance Plan, Emergency Procedures, and other project and/or aircraft procedure development/writing tasks, Hazard Analysis Reviews, Work Order System, cybersecurity plans, and other documentation and reports as requested
Evaluate operational changes and modifications to ensure that the changes are consistent with operational capability of the flight vehicle/UAS
Participate in the system safety process by identifying, evaluating, and documenting risks and implementing mitigations to assure airworthiness and mission success related to instruments, aircraft systems, experimental additions, proposed modifications effects, and the flight vehicle/UAS
Perform airworthiness tests and analysis to the extent directed by Project or Flight Operations Directorate
Act as the project’s Lead Flight Test Engineer with primary responsibilities of organizing test planning and leading and directing the data analysis plan
Develop, perform and/or support briefings, preliminary and critical design reviews, peer reviews, and airworthiness processes
Develop, review, and implement test plans, test procedures, checklists, etc. to facilitate aircraft operations in an efficient, safe and effective manner
Monitor mission performance during test flights, and maintain records such as maneuvers performed, time of day, data anomalies, vehicle fuel load and burn, flight pattern, and control room status
Additional Responsibilities include:
Maintain Aircraft Configuration management (flight and maintenance manuals) as required including management and disposition of Time Compliance Technical Order (TCTO), Airworthiness Directives, and Maintenance Directives (MDs) as required.
Support and lead NASA aircraft safety processes
Prepare and manage Certificate of Authorization (COAs)
Perform airspace coordination within restricted airspace and National Airspace
Participate and take on leadership roles in Operations Working Groups (OWGs), Mission Rule Working Groups (MRWGs), Systems Safety Working Groups (SSWGs)
Analyze project objectives and requirements, develop plans for conducting projects, provide support for the project safety review process, including participation in the development of Failure Modes and Effects Analysis, documentation of hazards, and the specification and implementation of mitigations to those hazards
Review project instructions to ascertain requirements, specifications, procedures, objectives, equipment, nature of technical problem, and possible solutions
Assist in the development of flight test plans and Concept of Operations (CONOPS) that include, but are not limited to, test conditions, maneuvers, contingencies for weather and other influences, required instrumentation, and methodology of data analysis
Perform data analysis using post flight test data using various methods and software tools
Mentor engineers in specific technical areas and/or the system engineering process and project management principles
Perform work in accordance with NASA ISO AS9100 procedures and applicable regulatory requirements
Follow the safe practices and rules contained in the Safety and Health plan and other such rules and practices communicated on the job
Report status to Senior Technical Lead and/or Task Focal Point in standardized format on or before due date
*This list is not intended to be all-inclusive and may be expanded to include other duties
and responsibilities.
QUALIFICATIONS
Must possess knowledge of military systems, radar systems, Multi-Monitor Run-Time Assurance (MMRTA) systems, air-data calibration test planning and analysis, and test planning and evaluation
Preference will be given to candidates who are familiar with AFRC and all flight operations procedures and processes, vehicle assets, and program/project mission objectives
Mastery of engineering principles and Systems Engineering processes
Must be able to work and lead teams and efforts in a dynamic and multi-task work environment by prioritizing work and coordinating task/project schedules
Must be able to manage and decompose requirements in specific technical areas
Strong communications and ability to work in a team environment a must
Must exercise a high degree of originality and sound judgment in formulating, evaluating, and correlating broad engineering research concepts, guiding the analysis of unique problems
May apply standard methodologies but is responsible for innovative thinking, problem solving, and independent judgment in resolving complex issues
EDUCATION
20 Years of Experience OR a Bachelor’s Degree in Engineering or Physical Science (required) – at least 5 years experience as principal Investigator, Group Leader, Project Engineer, Project Manager, or equivalent.
18 Years of Experience OR a Masters Degree in Engineering or Physical Science (required) - at least 5 years experience as principal Investigator, Group Leader, Project Engineer, Project Manager, or equivalent.
15 Years of Experience OR a PhD Degree in Engineering or Physical Science (required) - at least 5 years experience as principal Investigator, Group Leader, Project Engineer, Project
Manager, or equivalent.
Must be a U.S. citizen
Must be able to secure and maintain a security clearance
Must pass drug testing
Must be able to read and write effectively in English
Must embrace safety principles to include; adhering to safe work practices and standards while performing daily tasks, taking responsibility for own and coworkers’ safekeeping and encouraging others to work safely
Must maintain a positive work atmosphere by behaving and communicating in a manner to get along with customers, clients, co-workers and management.
Must perform work activities requiring interaction, negotiating, instructing, supervising, persuading, or speaking with others
Must be able to work under supervision and respond appropriately and professionally to criticism from a supervisor
With the exception of STD/LTD/FMLA/approved time off, attendance is considered essential
Must be able to work 9/80 schedule (alternating Fridays off) and within core hours of 8:00 a.m. to 3:30 p.m. Flexibility may be required based on workload
Physical requirements – must be able to sit or stand for extended periods of time
Travel requirements – some travel is anticipated both locally and long distance by car or plane
Telework: The ability to work onsite daily is required and part-time telework is approved based on project needs | 2023-03-09 |
null | Architect I | Drumbeat | Salt Lake City Metropolitan Area | null | null | About the job
About
Drumbeat is a progressive architecture, interiors, and branding firm. We focus on neighborhood placemaking, intentionality, and the brand experience. Drumbeat’s seasoned team delivers spaces with you in mind. With an ever-expanding list of adaptive reuse and new build projects, Drumbeat nods back to the historical integrity of place to create purposeful neighborhoods.
Drumbeat is looking to expand our team. The position is full-time and located in Salt Lake City, UT. This is a unique opportunity as Drumbeat operates within a “Team of Teams” that includes an in-house commercial real estate developer, general contractor, and property management/leasing team. We are not a traditionally structured operation but work with and alongside all facets of a building and construction team. The ability and understanding of the architecture process from project start to close out is paramount.
Main Responsibilities
Responsible for technical project documentation during the Design Development through Construction Administration Phases
Working as an integral member of project teams, assisting the Project Architect in preparing Design Development and Construction Documents Packages, including drawings, sketches, studies, and specifications.
Preparation of Design Development and Construction Documents
Project drawing documentation, including plans, sections, elevations, details, schedules, and the like
Coordinating the Architectural portion of a DD or CD package
Coordinating Architectural and Consultant documentation
Working within assigned deadlines and milestones
The Knowledge, skills, & abilities we’re looking for
3-5 years of architectural experience
Proficient knowledge of the construction documentation process
Knowledge of building codes related to architecture
Excellent communication and collaborative skills
Strong organizational abilities and time management skills
Strong attention to detail and a passion for good design
Self-motivated; able to work independently on various assignments related to the project
Licensed Architect in the state of Utah
Architecture education at the bachelor's or master’s level
Highly skilled in REVIT, AutoCAD, Microsoft Office, and Adobe Creative Suite | 2023-03-09 |
null | Project Manager - Solar Power | Spaulding Associates | Evansville, IN | null | null | About the job
Exciting opportunity to join the Renewables Division of a nationally known Electrical Contractor, working on large-scale renewable energy construction projects - SOLAR!
Seeking an experienced Project Manager or Construction Manager to coordinate, document, and oversee multiple contractors’ and subcontractors’ efforts regarding project coordination, execution, and installation of the electrical, mechanical, and civil infrastructure for utility-scale solar power projects.
This is a full-time position working as long-term traveler with per diem supplements at designated projects in Illinois and Indiana.
Responsible for overseeing the quality of the equipment and installation on site including access roads, grading, fencing, pile foundations, solar modules, low voltage DC wiring, power conversion systems, medium voltage electrical systems, combiner and recombiner box units, underground and overhead power lines, electrical substations, communications, controls, lighting, security and other related systems.
Schedule and oversee subcontractors, and review / negotiate subcontractor agreements
Perform shop drawing review (as needed)
Assist with running and documenting working meetings
Review a daily inspector’s report and assist the team in developing solutions.
Requirements:
BS in Construction Management or Engineering or equivalent experience.
5 years of engineering and project management experience on large industrial or utility projects, with 1-2 years of related experience in renewable (solar and/or wind) power generation and transmission or renewable energy power plant construction.
Civil and Mechanical experience for solar PV installations
Experience as General Contractor on large projects (>$10M)
Project Management Professional (PMP) or equivalent is a plus!
Understanding of Civil, Structural, Mechanical and Electrical concepts and drawings
Ability to proactively identify and implement cost saving strategies to support project(s) profitability
Outstanding communications skills combined with systems skills including the MS Office suite
Work onsite 5 days/week.
Salary: $Base salary, plus Per Diem, car allowance, comprehensive benefits, generous bonus structure, within a top-level organization. | 2023-03-09 |
null | Classification Data Scientist | Dotdash Meredith | New York, NY | null | null | About the job
Job Title
Classification Data Scientist
Job Description
About Your Role:
Dotdash Meredith is the largest premium publisher in the world. Every day tens of millions of people come to us for help and inspiration. Our library of hundreds of thousands of articles help our users, and help us understand the evolving needs of a world recovering from the pandemic and dealing with day to day challenges. As a classification expert, you will work with this incredible dataset to group and classify our content, and understand our users' needs. This understanding will be used to power our content investments, user facing initiatives, and how we work with partners. This role requires a deep understanding of classification and NLP, and will partner closely with our expert taxonomists.
About Your Contributions
Collaborate with stakeholders to understand business requirements and formulate data-driven solutions.
Develop, train, and validate classification models on large datasets.
Utilize advanced machine learning techniques to improve model accuracy and performance.
Work closely with taxonomists and business partners to identify and prioritize classification needs.
Work closely with the engineering team to integrate models into production systems.
Monitor model performance in production and make improvements as necessary.
Stay up-to-date with the latest developments in machine learning and bring new techniques and technologies to the team.
About You
PhD or Master’s degree in Computer Science, Mathematics, Statistics or a related field, or equivalent work experience.
5+ years of experience in data science and machine learning with a strong focus in the area of classification.
Excellent data science fundamentals, with a solid grasp of statistics and modeling techniques.
Strong programming skills in Python and experience with standard data science tools and libraries (Pandas, NumPy, Scipy, NLTK, Spark, Docker, TensorFlow, PyTorch, scikit-learn, etc.).
Experience deploying machine learning models in production on at least one cloud platform (GCP, AWS, etc.).
Experience with scaled use of LLMs (such as GPT-3) strongly preferred, including insights into the pros and cons of their usage.
Excellent communication skills and the ability to work effectively with cross-functional teams.
Able to independently and fluently translate business needs to data problems.
Excellent ability to communicate results and progress to non-technical and technical audiences.
Proven history of leading projects from start to finish and shipping high quality, scalable code.
Ability to balance multiple projects and priorities from numerous stakeholders with quick turnarounds.
Strong problem-solving skills and the ability to think creatively.
It is the policy of Meredith Operations Corporation ("Dotdash Meredith", "the Company") to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing ddm.hr@dotdashmdp.com.
The Company requires employees entering its workplaces, performing work offsite, or attending a company sponsored event to verify and provide proof of full COVID-19 vaccination. The Company will consider requests for reasonable accommodations as required by applicable law.
The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees
Pay Range
Salary: $113,475 - $164,560
The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Dotdash Meredith’s total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, Dotdash Meredith provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with Dotdash Meredith and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.
#NMG# | 2023-03-09 |
null | Accounts Receivable/Collections | Northwest Environmental | Baltimore, MD | null | null | About the job
Collections Specialist
Northwest Environmental Baltimore, MD, USA
Benefits Offered: 401K, Dental, Life, Medical, Vision
The Collections Specialist is responsible for collections of outstanding payments due from the existing client base and all other aspects of collections, such as resolving customer billing problems and reducing accounts receivable delinquency.
Responsibilities
Reviewing open accounts to identify overdue payments.
Making outbound collection calls and emails in a professional manner while keeping and improving customer relations.
Resolving client-billing problems and accounts receivable delinquency.
Applying good customer service in a timely manner.
Process customer payments in accordance with payment due dates.
Identify issues attributing to account delinquency and discuss them with management.
Provide timely follow-up on payment arrangements.
Update account status records and collection efforts with management.
Communication with customers to encourage payment of delinquent accounts.
Experience and Skills
The ideal candidate for this position will have a minimum of 2 years of corporate collections experience including interaction with a large customer base.
Strong communication, problem solving, and analytical skills.
Ability to work independently and to adapt to a fast changing environment.
Proficiency in Microsoft Office Suite, specifically, Outlook, Excel, and Word.
Must have attention to detail with an eye for accuracy.
Creative, self-disciplined, and capable of identifying and completing critical tasks independently and with a sense of urgency.
Experience in a telecommunications environment is preferred but not required.
About Northwest Environmental:
Northwest Environmental is a trash and recycling consultation company that partners with haulers across the country to provide effective and environmentally responsible service to business clients. | 2023-03-09 |
null | Account Manager - Group Physician Advisory Services | The Partners Group | Portland, Oregon Metropolitan Area | null | null | About the job
Find your place at The Partners Group, a purpose driven company committed to making a difference in our community through our work and inspiring others to do the same.
TPG’s success is driven by a culture that values partnerships. We’re looking for people who invest in their relationships, seek to learn, create winning solutions for all, and do what they say they are going to do. Hard work goes without saying at TPG, supported by our culture that thrives on having fun while living well. This is what it means to be a partner for our clients and teammates.
Are you ready to join an amazing team that has won too many Employer of Choice awards to list? Let’s work together!
The Partners Group in Portland currently has an outstanding opportunity for an experienced account management professional to join our Group Physician Advisory Services (GPAS) team, a highly specialized consulting team which works on large, complex medical group clients.
How you will have an impact at TPG:
The primary role of an Account Manager on this experienced and specialized team is helping to create solutions around clients’ complex business problems and challenges to help them execute their benefit priorities. You are a partner who solves problems by teaming with clients, insurance carrier partners, and TPG consultants.
What a typical day in this role looks like:
Client Service: Daily contact for assigned clients, conducting research, and advising clients on claims issues, billing discrepancies, contract interpretation, compliance issues, and more
Service Calls/Meetings: In conjunction with the Consultant, develop Monthly, Quarterly, and Annual presentations for routine service calls/meetings
Marketing: Coordinate the marketing survey process, including developing requests for proposals, preparing rate/fee and benefit comparisons, cost projections, network disruption analysis, etc.
Review contracts and SPDs for accuracy and coverage
Assist in the client’s benefits plan renewal process
Key details
Location: Tigard, OR, or Renton, WA; in-office with hybrid-remote opportunities
Hours: 40 hours/week, Mon-Fri
Salary Range: $75,000 - $85,000 annually, DOE
Physical Requirements: Ability to sit for extended periods of time, ability to communicate verbally and in writing, and ability to handle long periods of screen time.
Travel: Some local and regional travel is expected.
What you’ll bring to the table:
A minimum of 3-5 years of experience as a Benefits Account Manager or Client Service Representative with a strong Life Insurance, Disability, and Dental background
An active Life & Health Insurance license
Excellent customer relations providing prompt, accurate, and friendly client service
Clear, concise communication to build and maintain strong client relationships
A high level of accountability and the ability to handle multiple client requests under tight deadlines
Self-sufficiency and ability to work independently, as well as in team settings
Strong organizational skills and attention to detail
A hungry, humble, and people-smart approach to working as part of a dynamic team.
What will make you really stand out:
You are a proven insurance professional ready to serve clients
You love working cohesively with a team to serve clients at the highest level
You have a track record of doing what’s best for the client
You are a Master Hatter who likes to switch the hats you wear on a moment-by-moment basis. One moment you may wear a medical hat, dental hat, legal eagle hat, Excel wizard hat, and more!
What TPG can offer you
A rich benefits package including generous Paid Time Off, Medical and Dental Insurance, Life and Disability Insurance, and Retirement plan
Support & Development to cultivate your knowledge and Continuing Education to maintain or grow your professional designations
Community Involvement perks, including 8 hours paid volunteer time per quarter, charitable contributions matched by TPG, and an All-company holiday volunteer day
Commitment To Diversity
Embracing and encouraging a diverse range of perspectives makes us stronger, smarter, and more effective. The sum of our individual differences drives our culture, reputation, and achievements.
Apply Today
Send your cover letter and resume to our Recruiting Team! | 2023-03-09 |
null | Senior Machine Learning Engineer, Financial Crimes Technology | Square | San Francisco, CA | null | null | About the job
Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
The Square Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Square operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environments.
You will:
Design and build services and tooling that support our ML modelers and analysts
Be the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production work
Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies
Proactively identify new opportunities and future needs of our ML teams
Lead by example by applying ML and engineering best practices
Stay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos and PoCs
Have a significant impact on influencing team culture and direction
Qualifications
5+ years of software engineering or machine learning experience
A degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
An ability to maintain critical production software and build new production software from scratch
Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scale
Natural curiosity and desire to grow and help shape all aspects of our small and growing team
Excellent written and oral communication skills and are comfortable working with a cross-functional, globally distributed team
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverage
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off
Learning and Development resources
Paid Life insurance, AD&D. and disability benefits
Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. | 2023-03-09 |
null | Data Scientist, Lead | Booz Allen Hamilton | Las Vegas, NV | null | null | About the job
Job Number: R0165198
Data Scientist, Lead
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.
We have an opportunity for you to use your analytical skills to support the US Air Force’s Intelligence, Surveillance, and Reconnaissance (ISR) mission. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in bringing decision support and innovation to our clients.
In this role, you’ll help define the direction of mission-critical solutions by applying data science best practices and technologies. You’ll be part of a large community of data scientists, machine learning engineers across the firm and collaborate with data engineers, data visualization developers, data architects, and ISR product owners and mission experts. This team will deliver world class solutions to implement the ISR Artificial Intelligence, Automation, and data Augmentation (AAA) and cloud strategy across the ACC ISR enterprise by modernizing the digital environment to meet the requirements of 5th Generation Warfighting, Joint All Domain Command and Control (JADC2), Advance Battle Management System (ABMS), the Sensing Grid, Agile Combat Employment (ACE), the Intelligence Community’s (IC) Augmenting Intelligence with Machines (AIM), Information Environment, and Information Technology Environment strategies.
This role will also include applying advanced consulting or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of data science, tools, and frameworks.
If you have the drive to solve real-world challenges and define data science strategy for the Air Force, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and, in return, we’ll invest in your future.
Join us. The world can’t wait.
You Have:
6+ years of experience with data science, data analytics, software engineering, or machine learning engineering, including in an academic or professional work environment
3+ Experience with project work in machine learning, computer vision, NLP, or signal processing
Experience with distributed programming languages such as Spark
Experience with extraction, transformation, and loading (ETL) processes and tools
Experience with scripting languages such as Python, SQL, or R
Experience with data visualizations and reporting tools such as Plotly, Matplotlib
Experience with cloud services, including AWS, Azure, or Google Cloud
Ability to learn new skillsets to solve challenging problems
Ability to obtain a security clearance
Bachelor's degree
Nice If You Have:
Experience with GPU-programming, including CUDA, RAPIDs, or similar and building and developing machine learning algorithms
Experience with data orchestration tools, including Airflow and data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets
Experience with data lakes, data warehouses, or data lake houses and enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
Experience with C++ and Java and unmanned or autonomous systems
Experience working with Department of Defense
Experience with CI/CD, including Git, Jenkins, Docker and Kubernetes
Ability to gather requirements from customers and lead Agile teams
Top Secret clearance
Master’s Degree in Computer Science, Statistics, or a related field
Amazon Certified Machine Learning Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $106,200.00 to $242,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law. | 2023-03-09 |
null | Senior Principal Data Scientist | Vericast | Raleigh, NC | null | null | About the job
Company Description
Vericast is a premier marketing solutions company that accelerates profitable revenue growth for the thousands of businesses it serves directly by influencing consumer purchasing and transaction behavior at scale while engaging with over 120 million households daily. We are recognized as leading providers of incentives, advertising, marketing services, transaction solutions, customer data and cross-channel campaign management, and intelligent media delivery that create millions of customer touch points annually for their clients. For more information, visit http://www.vericast.com or follow Vericast on LinkedIn.
Job Description
A Senior Principal Data Scientist is an individual who possesses deep knowledge and insights about all aspects of data science and digital media, and has the skills to contribute by designing, conducting, and incorporating analyses of large-scale data from a wide variety of sources. This expert has demonstrable experience in converting ambiguous requirements to concrete solutions for exploring data, designing and/or applying appropriate algorithms, documenting the findings, and incorporating the analysis into end-to-end systems, applications, and platforms. Effective communication with other job disciplines is required. Contributions are expected at a higher level than a Principal Data Scientist.
Key Duties And Responsibilities
Embrace the role of a technical leader who significantly contributes to data analyses and strategies, design and implementation to the current (or future) version (or multiple concurrently developed versions) of large-scale data science, digital media, and data engineering systems, end-to-end applications, and/or underlying technologies.
Be a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages and systems)
Work with third party vendors to develop data solutions and/or to integrate their data into the company’s products
Evaluates new technologies and data products to determine feasibility and desirability of incorporating their capabilities within the company's software systems and applications.
Frequently serve as technical data science and digital media lead for large cross-team projects, determining implementation tasks, tradeoffs, milestones, and assigning tasks to other team members on multiple teams.
Qualifications
Education
Master's Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)
Doctorate Degree (Preferred)
In lieu of the above education requirements, a combination of experience and education will be considered.
Experience
10+ years Relevant Experience (Required)
Knowledge/Skills/Abilities
Demonstrated ability to solve highly complex analyses and have a wider influence than that of a Principal Data Scientist. Experience with multiple data systems and architectures is required.
Ability to work across the organization and provide technical guidance in data science areas for multiple teams
Continued growth in leadership above and beyond Principal with more focus on cross department interaction and input into corporate strategy.
Additional Information
Salary: $215,000-235,000
The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.
Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. | 2023-03-09 |
null | Business Intelligence (BI) Analyst | INSPYR Solutions | United States | null | null | About the job
Title: Business Intelligence Analyst/Developer
Location: Remote in Texas (Candidates must be local to Texas)
Duration: Permanent, Direct-Hire
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US. No C2C.
Qualified candidate should send their resume (Word format) to Nate Ackerman at nackerman@inspyrsolutions.com.
Summary:
The Business Intelligence (BI) Analyst will work with leadership and to provide data-driven insights to support financial, clinical, and operational functions. S/he supports, develops, and maintains business intelligence (BI) tools, dashboards, and reports. S/he acts as a project lead or team member on multi-team projects and uses advanced skill set to develop, test, troubleshoot, and support BI and reporting-related projects and associated solutions/applications, and acts as mentor to others learning essential and advanced BI and/or reporting-related skills.
Duties:
30%- Work collaboratively with leadership and peers to develop and maintain business intelligence (BI) tools, dashboards, and reports that provide decision support for financial, clinical, and operational functions
20%- Provide general and specialized business intelligence and/or reporting-related support. Research issues, contact vendors, and use specialized skills to aid in problem remediation
20%- Act as a project lead or team member on multi-team projects and use advanced skill set to develop, test, troubleshoot, and support BI and reporting-related projects and associated solutions/applications
20%- Monitor and maintain uptime and performance data for related applications and automated processes as required. Act as mentor to others learning essential and advanced BI and/or reporting-related skills
10% - Operate with dignity and respect. Honor and incorporate the values by creating a culture of trust
Experience:
5 years' experience in a healthcare business intelligence (data and/or analytics) related role
Demonstrated initiative and problem-solving skills
Demonstrated ability to create and implement business metrics and reporting through both data and business analytics functions including data aggregation, data modeling, and data visualization
Previous experience and/or exposure to Epic Systems preferred
History of resolving issues arising from operations and coordinating with other departments to develop solutions where necessary
Knowledge of and/or experience analyzing finance and medical economics, provider network management, care management, pharmacy, and clinical operations, quality informatics (HEDIS and Stars)
Special Skills:
Strong T-SQL and SQL Server skills including SSRS
Advanced knowledge of BI, data visualization, and dashboard tools (Tableau, Power BI, MicroStrategy)
Proven communication, presentation, analytical, and problem-solving skills
Strong business acumen and technical acumen
Ability to work independently or as a team
Maintains a safe environment, where everyone feels respected, empowered, and free to express their constructive thoughts and feelings
Education: Bachelor's degree or equivalent experience
Licenses: MS SQL-related Certifications preferred
About INSPYR Solutions:
Genuent and TekPartners are becoming INSPYR Solutions. As a leading information technology partner, we connect top IT talent with our clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. We understand and value the unique needs of highly-skilled information technology professionals in the industry and always strive to stay above the curve. Our company was founded on the following core values: Be the Best, Understand the Urgency, Never Ever Give Up, Have the Courage to Excel, and Make a Contribution. We take pride in our business model and strive to create a positive workplace environment through an exemplary culture.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Desired Skills and Experience
BUSINESS INTELLIGENCE | 2023-03-09 |
null | Senior Applied Researcher | eBay | San Francisco, CA | null | null | About the job
Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.
Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?
The Search Monetization team is the biggest contributor to eBay’s advertising program. We innovate at the heart of ecommerce search and advertising, with the ambitious goal of redefining ecommerce advertising. We craft an optimized experience for both buyers and sellers on eBay. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.
We are looking for stellar applied researchers to join us and build the next generation of online advertising products in eBay search. If you enjoy the scale and technical complexity of advertising and want to be at the frontier of applied research in advertising in e-commerce, join now. Help us redefine advertising at eBay.
Job Responsibilities
Seek scientific solutions to multiple complex and ambiguous problems by crafting a technical vision and driving consensus across teams
Think through complex research problems, simplify where necessary, invent when needed, to drive a principled vision from thought to reality
Work through others as a technical leader to drive vision, define and standardize methodologies, establish processes, and operationalize machine learning solutions across teams and projects
Present key technical and novel research work in public forums and conferences
Mentor junior team members
Basic Qualifications
MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
5-8 years (with PhD) or 8-12 years (with MS) of industrial experience in a related field
Strong Industrial experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related
Experience in big data processing, e.g. Hadoop, SQL, Spark
Experience with Python or R, and Java or Scala or C/C++
2 or more related publications in quality conferences or journals
The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range below.
$168,400-$262,900
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/
The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range below.
$168,400 - $262,900
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement.
Jobs posted with location as "Remote - United States (Excludes CO, HI, NM, NYC)" excludes residents of Colorado, Hawaii, New Mexico and New York City.
This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. | 2023-03-09 |
null | Environmental Scientist | CRB Geological and Environmental Services, Inc. | Greenville, SC | null | null | About the job
CRB's Greenville, South Carolina office seeks an environmental scientist / project manager for a full-time position. Experience of five or more years is preferred. Our firm has provided high quality environmental services since 1992. Applicants are encouraged to visit our website at www.crbgeo.com to review our scope of services.
Responsibilities
Executing field work and reports deliverable for projects including:
Phase I & II Environmental Site Assessment
Indoor Air Quality
Groundwater & Soil Remediation
Periodic nationwide/regional travel
Qualifications
Previous experience in environmental consulting
BA/BS in science
OSHA HAZWOPER preferred
English fluency & US citizen
Asbestos inspector or other certificates preferred
Independent writing and report preparation | 2023-03-09 |
null | Data Scientist, Revenue and Financial Management | Stripe | United States | null | null | About the job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions
of companies—from the world’s largest enterprises to the most ambitious
startups—use Stripe to accept payments, grow their revenue, and
accelerate new business opportunities. Our mission is to increase the
GDP of the internet, and we have a staggering amount of work ahead. That
means you have an unprecedented opportunity to put the global economy
within everyone’s reach while doing the most important work of your
career.
About The Team
We’re working on making the global financial system programmable. This
is one of the largest opportunities for impact in the history of
computing, on par with the rise of modern operating systems. It is too
difficult and expensive today for fast growing companies to produce
financials and analyze their businesses. We are laser focused on
building an end-to-end solution for users to understand their
performance and grow their revenue.
What you’ll do
Responsibilities
Define and measure key outcome metrics for our suite of Financial and SaaS products that cater to our users needs.
Design and analyze experiments to improve the conversion funnel for product adoption and targeting efficacy.
Apply statistical methods, causal inference, and machine learning to inform product decisions and optimize our products and systems.
Design and develop data sets that enable better understanding of adoption and engagement across Stripe’s SaaS products, dashboard, and developer platform.
Partner closely with product, engineering, finance, and marketing teams to identify and prioritize the most important data science projects.
Who you are
We’re looking for an experienced data scientist to partner with teams
across our Revenue and Financial Management org to support the growth of
our existing SaaS products including Stripe Billing and Stripe Tax. In
addition, the org is excited for the development of new data products
that are critical for our users to grow their revenue and analyze their
business. If you are excited about building new products on Stripe’s
platform, live and breathe data-driven product development, and
energized by designing strategic metrics and causal analyses, then we
want to hear from you.
Minimum Requirements
6+ years of data science/quantitative modeling experience.
A PhD or MS in a quantitative field (e.g., Statistics, Quantitative Finance, Economics, Sciences, Engineering).
Expert knowledge of a scientific computing language (such as R or Python) and SQL.
Expertise in statistics and experimental design.
Prior experience with product and/or go to market data science or enthusiasm to learn.
A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
The ability to communicate results clearly and a focus on driving impact. | 2023-03-09 |
null | Senior Data Scientist | Schnuck Markets, Inc. | St Louis, MO | null | null | About the job
JOB DESCRIPTION SUMMARY
This teammate will be responsible for leading advanced analytics projects using big data and advanced data science method & technologies supporting Schnuck Markets Inc (SMI's) innovation and business goals. This role will focus on producing insights that will improve customer experience, operational effectiveness, and increase business value.
A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams.
The Senior Data Scientist will design quantitative systems and forecasting models focused on business predictions of the highest level of visibility and importance for SMI's growth.This role will use advanced statistical and machine learning techniques to create scalable optimization and predictive systems supporting our company strategy. This role will partner across our business, data, and IT organizations to build end-to-end data pipelines to deploy advanced models having exposure to senior leadership by communicating results and provide scientific guidance to the business.
In addition, this role will contribute to the development of SMI's data science best practices, including analytics governance model development and deployment, data science program and principles development, and technology toolkit development and training. This role will act as a trusted advisor to help shape and deploy SMI's data science strategy, and lead fundamental aspects of our evegreen Data Science training program.
JOB RESPONSIBILITIES
Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs. Design and develop data models to predict business outcomes or future impact of decisions. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs. Conduct exploratory data analysis from complex data sources and build key data sets to support SMI's mission. Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems.
Evaluate and design experiments to monitor key metrics and identify improvement opportunities. Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns. Participate in presentations and communicate results of analysis and findings. Collaborate with information technology or external vendors in the deployment of insights through company applications.
Co-lead development, deployment and maintenance of SMI's evergreen Data Science training program. Evaluate and utilize appropriate BI/data visualization tools available in the toolkit to streamline insights deployment.
Stay up-to-date to most current evolvement in the Analytics and Data Science arena, with focus on personal development applied towards on the job experiences.
Actively assist and collaborate with others in the department in the continuous learning and knowledge sharing process across the Analytics & Science continuum
Support SMI's data science governance maturity, by contributing to development of analytics governance, best practices, and methodologies.
Track general business activity and providing clear, compelling management reporting on a regular basis.
REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES
4+ years of experience in modeling and statistical analysis of large data sets in data science roles, involving data extraction, analysis, statistical modeling, and communication. Leverage of G Suite with solid storytelling skills.
Knowledge of SQL and RDBMS. Strong domain knowledge in query languages, programming languages and statistical computing. Prior experience leveraging cloud computing solutions and Alteryx preferred.
Strong attention to detail. Strong project management skills
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format. Track record of diving into data to discover hidden patterns.
Previous experience working in the areas of inferential statistics, machine learning, and artificial intelligence preferred.
Graduate degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science, or equivalent experience
4+ years of experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
Experience with database technologies, query language, as well as fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.
Ability to handle large amounts of data, identify key information and provide insightful recommendations to all levels within the organization.
Ability to communicate well, form strong partnerships and powerfully convey their recommendations in order to gain action on their insights.
Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines
Excellent communication, service orientation and strong relationship building skills.
REQUIREMENTS
Required Education: Graduate level education
Years of Experience: 3 to 5 years | 2023-03-09 |
null | Data Scientist Senior | CHRISTUS Health | Irving, TX | null | null | About the job
Description
Summary:
The Data Scientist Senior is responsible for discovering information hidden in vast amounts of data through design, development and implementation of optimal Prescriptive, Predictive and Descriptive analytics solutions. Individual must have extensive knowledge of Statistical Models, Data Mining, Machine Learning and proven experience in building custom algorithms to deliver insights. Individual must have proven programming competency in advanced Data Science toolkits such as SAS. The Data Scientist III is also responsible for supporting the business goals and objectives for the Performance Improvement and Workforce Planning Department, the Human Resources vertical and the organization as a whole.
Provides technical development expertise for designing, coding, testing, debugging, documenting, and supporting all types of applications consistent with the established specifications and business requirements in order to deliver business value
Contributes to the execution of CHRISTUS' overall information systems strategy as it pertains to their vision of the organization in both strategic and tactical plans
Involved in team adoption, execution and integration of strategy to achieve optimal and efficient delivery
Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance
Integrates software components, subsystems, facilities and services into the existing technical systems environment; assesses impact on other systems, and works with cross functional teams within information management to ensure positive project impact
Installs, configures, and verifies the operation of software components
Requirements
Master's Degree
Work Type
Full Time | 2023-03-09 |
null | Sr. Decision Scientist | ZipRecruiter | Seattle, WA | null | null | About the job
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
Drive forward the product roadmap as a Senior Decision Scientist embedded with our Product and Engineering teams. Specifically, bring to bear the following quantitative tools to help your product teams make better decisions:
Descriptio
Use descriptive statistics to measure product performance. Help the team diagnose the potential causes and solutions when those statistics move unfavorably.
Experimentation
Act as the end-to-end owner of hypothesis driven experimentation for your product team. Deliver rigorous analysis and clear, practical recommendations.
Inference
Conduct statistical inference to complement your team’s understanding of its products and users. Infer causality of a mechanism when you can’t test it.
Key Focuses:
Influence your stakeholders and executives to make better product decisions. Be willing to tell uncomfortable truths.
Become deeply familiar with our product data. Understand the limitations and caveats. Use our data to plan and complete analysis that supports product development.
Propose analyses that your product manager and engineering team haven’t considered yet. Provoke new and deep thinking in your team. Level up their understanding of our product data.
Build clear and compelling data visualization so that your stakeholders can analyze product health on their own.
Minimum Qualifications:
Bachelor's degree in a quantitative field such as mathematics, computer science, operations research, economics or equivalent experience
5+ years of product analytics experience (optional: in a product/engineering/tech environment)
Experience designing experiments, testing, and utilizing statistical principles to inform business decisions
Extensive knowledge and practical experience in several of the following areas: theory and practice of probability and statistics, causal inference, experimental design and analysis, synthetic control, product ecosystems, Bayesian inference.
Proficient in statistical computing and scripting languages such as Python, R, SQL
Preferred Qualifications:
Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, economics
As part of our team you’ll enjoy:
Competitive salary
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
The US base salary range for this full-time position is $157,500 - $185,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice | 2023-03-09 |
null | Marketing Data Scientist | PayPal | Scottsdale, AZ | null | null | About the job
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
Job Description Summary:
Our global Growth Marketing transformation is in full swing. We embarked on a path of transforming and building a world class Marketing organization earlier this year. Our team helps power PayPal and Venmo’s high growth Marketing organization by delivering actionable insights and business intelligence at scale. In this role, you will be the analytics partner for the Website & SEO teams where you will be tasked to provide analytical solutions for complex and high-visibility business challenges. You will use data to come up with the insights required to manage and grow our Website & SEO traffic effectively and leverage cross-functional teams to develop and land solutions that meet business needs at scale. You will play a pivotal role in conversion optimization and improving our website user experience. You will collaborate with Website, Engineering, and Marketing teams, to ensure best practice, improve our website, grow our audience, and improve funnel conversion. Our team is entrepreneurial, enthusiastic, and client-focused. If you are a fast learner, are willing to learn and grow, have a can-do attitude, and wants to solve problems in the most pragmatic way, we would like to talk with you.
Job Description:
Responsibilities
Participate and collaborate with cross functional teams in the organization to understand the business requirements and to deliver analytical solutions that can scale.
Supervise the development of statistically correct test designs to ensure that the output is correct and delivers the insights that are needed
Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents
Provide thought leadership within the marketing analytics community
Strong problem-solving skills as this is an individual contributor role.
Partner with marketing and analytics teams to understand business requirements, analyze performance and provide actionable insights
Extract insight from data, identify relevant trends and provides well-developed proactive recommendations to enhance and exceed our marketing goals and objectives.
Own production, development and maintenance of reports, tableau dashboards, data cubes and ongoing analyses to meet SLAs.
Continuously think how to improve the analytics infrastructure for the team and automate processes
Automation & streamlining of existing processes and provide innovative solutions to the business
Work and establish good working relationships with marketing and analytics teams to leverage existing infra for the team and continuously engage with these teams for idea cross pollination
Requirements
Bachelors/MS/PhD Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics
Excellent knowledge of SQL. Knowledge of either Python or R.
2 to 3 years analytics experience
Experience in SEO & Web Analytics is good to have
Familiarity with major web analytics tools such as Google Analytics & Google Search Console
Exceptional problem-solving skills, with strong ability to drive towards action and impact
Experience in managing analytics projects from inception to delivery, including developing structured solutions.
Experience with visualizations, Tableau dashboards, and reports.
Experience with data modelling, machine learning algorithms, and data science techniques is a plus.
Excellent verbal, written and interpersonal communication skills.
Understanding of paid search engine marketing is a plus.
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is $60900 to $147400
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.
REQ ID R0099663 | 2023-03-09 |
null | Strategy & Transformation Data Scientist II | UNFI | United States | null | null | About the job
PURPOSE:
The Data Scientist II is responsible for using data and advanced analytics to improve business outcomes. This role will be responsible for developing, testing, and implementing statistical and machine learning models for predictive analytics, and taking an iterative approach to improving results. This role has a solid understanding of predictive modeling and machine learning techniques, model development, model/ml-ops and governance, possess a strong background of using analytics to solve business problems, with excellent written and verbal communications skills.
ESSENTIAL FUNCTIONS:
Job Responsibilities:
Problem Formation
• Works with internal business stakeholders to gather requirements for analyses and translates these requirements into actionable analytical approaches.
Data Prep
• Acquires, cleans, transforms, and features engineers’ data in preparation for analysis
• Performs data quality checks to ensure that it is fit for purpose.
Analytical Modeling
• Selects appropriate modeling techniques for complex problems with large scale structured and unstructured data sets.
• Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inference) on available data.
Model Assessment & Validation
• Identifies the model evaluation metrics.
• Applies best practice techniques for model testing and tuning.
• Assesses accuracy, fit, validity, and robustness.
Communication
• Clearly presents model results to and influences peer and stakeholder audiences.
• Participates in the review of models developed by others.
Operationalization & Monitoring
• Assist with the operationalization and monitoring of models.
JOB REQUIREMENTS:
Education/Certifications/or Equivalent combination of education, training, and experience:
-Bachelor’s degree in computer science, engineering, mathematics, economics, finance, or a similar field.
-Master’s degree preferred.
Experience:
3-6 years of relevant technical experience in the following:
• Predictive Modeling and Machine Learning.
• Model-Ops/ML-Ops and Governance
4 years’ experience using Python and SQL
Experience with cloud-based statistical modeling and machine learning platforms a plus
Alteryx experience preferred
Knowledge/ Skills/ Abilities:
Ability to collaborate as part of a cross-functional Agile team to:
• Build optimized data pipelines that facilitate the construction and operationalization of statistical and ML models.
• Create, validate, and operationalize statistical and ML models that comprehensively solve business needs.
• Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, deep learning, simulation and optimization algorithms.
• Process mindset with excellent documentation skills
PHYSICAL ENVIRONMENT/DEMANDS:
• Some travel may be required.
• Most work is performed in a temperature-controlled office environment.
• Incumbent may sit for long periods of time at a desk or computer terminal.
• While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear.
• Incumbent may use calculators, keyboards, telephone, and other office equipment during normal workday activities.
• Stooping, bending, twisting, and reaching may be required in the completion of job duties.
For applicants in Colorado (all other states remove): The compensation for this position is $80,000 – $112,500 annually, depending on experience. You will also be eligible to participate in the following benefits programs - Paid Time Off; Sick Time; 401K Program; medical, dental, vision, life, and accidental death/ dismemberment insurance; short-term and long-term disability insurance programs, Flexible Spending Account, and/or Health Savings Account, subject to meeting the eligibility requirements and the terms and conditions of these programs.
For hourly/salaried applicants in New York City area (all other locations or commission remove): The compensation for this position is $96,800-$123,200 annually, depending on a variety of factors including but not limited to education, experience, certifications, etc. You will also be eligible to participate in the following benefits programs - Paid Time Off; Sick Time; 401K Program; medical, dental, vision, life, and accidental death/ dismemberment insurance; short-term and long-term disability insurance programs, Flexible Spending Account, and/or Health Savings Account, subject to meeting the eligibility requirements and the terms and conditions of these programs.
All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. UNFI is an Equal Opportunity employer committed to creating an inclusive and respectful environment for all. - M/F/Veteran/Disability. VEVRAA Federal Contractor.
Pay Range
$80,000 - 149,500 Annually ($38.46 - 71.88 Hourly) | 2023-03-09 |
null | Lead Data Scientist | Featurespace | United States | null | null | About the job
The Opportunity
In your role as Lead Data Scientist, you’ll be responsible for the line management of a team of Data Scientists, acting as both a coach and a mentor. You’ll manage complex deliveries of Featurespace machine learning models into customer environments, managing client teams, and helping to accelerate critical work.
You’ll be involved in the improvement of internal processes, both operational and technical, and act as a senior point of knowledge and escalation of data science-related technical questions from the EMEA delivery team.
This role can be based remotely across the US, with our main office based in Atlanta.
Day to Day
Developing and nurturing a team of Data Scientists
Managing team members on projects from the smallest to the very largest customer deployments
Ensuring that projects are run according to best practice as documented by the Data Science team’s ways of working
Monitoring the quality of the deliverables output by the Data Science team, ensuring that these are produced to an industry leading standard
Sharing knowledge of best practice relating to methods for data preparation, data visualisation, feature generation, feature selection and model governance
Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
Improving team processes to increase team efficiency and quality of output
Providing input into future data science strategy and product development
Acting as product owner for critical tools in the data science workflow, ensuring that important functionality is delivered to specification by the responsible engineering team
Leading discussion with development teams to support and enhance the analytical infrastructure
Evaluating and improving the analytical results on live systems
Being an expert of industry data structures and processes
Develop expertise in the ARIC analytical tool stack and ARIC system architecture
About You
Must haves
Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics
Significant commercial experience implementing statistical models and analytical algorithms in business critical systems
Experience managing a team of highly-talented professionals
Ability to understand complex systems quickly and explain them simply to other people
Constructive participation in system architecture/design discussions from an analytical and business impact perspective
Technical and analytical skills with the ability to pick up new technologies and concepts quickly
Practical experience of the handling and mining of large, diverse, data sets
Experience of the modern software dev lifecycle: version control, unit testing, CI/CD
Problem solving skills (especially in data-centric applications)
Ability to manage and prioritise personal workload
Great to haves
Experience leading a talented and high-performing Data Science team
Subject matter expertise in the banking and payments industry
Experience leading the deployment of machine learning models into high throughput, real-time prediction contexts
Experience in model governance, fair credit and fair lending compliance
Equal Opportunities
Here at Featurespace we are committed to being a place of equality, inclusion and respect to provide a safe environment for you to bring your authentic self to work. We know that we gain as much strength from our differences as we do our similarities. We value diversity and are dedicated to listening and learning from each other to build and maintain a positive and productive culture. We appreciate this will be an ever-evolving focus for the business to ensure everyone feels supported and has a sense of belonging. | 2023-03-09 |
null | Senior Data Scientist | Storm3 | United States | null | null | About the job
Senior Data Scientist
United States (Remote)
Start-Up HealthTech
Base STARTING at $220,000 + Bonus + Equity
Interested in joining a mission driven HealthTech start-up?
An exceptionally well-funded start-up who have secured $223M in Series C funding is looking for their next Senior Data Scientist to shape the future and vision of their company. They are doing ground-breaking work in the imaging space to improve lives across the US by improving heart disease diagnosis and prognosis.
As a Data scientist, you will be working on analyzing, developing, and translating state-of-the-art machine learning models to generate direct impacts on the care pathway of heart disease detection and prediction.
Responsibilities:
Researching and developing prototypes of state-of-the-art machine learning models with applications in coronary CT imaging
Conducting analyses of the algorithms and prototypes being researched and developed
Researching new methods of measuring and analyzing large and highly complicated data sets
Working with engineers to deploy machine learning algorithms in clinical practice
Requirements:
PhD or Master's level education
Expert background with Imaging/Machine Vision
Experienced and skilled leader
Any background in Biology, Chemistry or Physics is a bonus!
Benefits
Highly Competitive Base
Bonus
Equity
401,
Medical, Dental, Vision Insurance
Parental Leave
Flexible vacation
🌎 US (Remote)
📧 Interested in applying? Please click on the ‘Easy Apply’ button or alternatively email me your resume at jamal.aminu@storm3.com
⚡ Storm3 is a HealthTech recruitment firm with clients across major Tech hubs in Europe, APAC and North America. To discuss open opportunities or career options, please visit our website at storm3.com and follow the Storm3 LinkedIn page for the latest jobs and intel | 2023-03-09 |
null | Expert Data Scientist | impact.com | California, United States | null | null | About the job
The Company:
At impact.com our culture is our soul. We are passionate about our people, our technology, and our obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!
impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L'Oréal, Fanatics and Levi’s, visit www.impact.com.
Your Role at Impact:
At Impact we have an amazing opportunity to leverage machine learning and AI to drive product innovation.
You will work on our core and business products to help shape the future of what we build at Impact. You will enjoy working with our rich data set, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. Partnering with internal and external stakeholders, you will develop new products/features and solve business problems by preparing, analyzing, and understanding data to prototype products/features, deliver insight, predict emerging trends, and provide recommendations to optimize results.
Leaders in Data Science can see different angles of a product or business opportunity, and you know how to connect the dots and interact with people in various roles and functions. You have substantial experience with analytical tools and techniques, and bring a solid skill-set in analyzing data and communicating recommendations. You will deepen your skill-set by working with analytical thought leaders across the company.
With your leadership and professional expertise, you manage a team of data scientists and analysts, plan project goals and lead the overall strategy for your group. You are a recognized authority in your functional area and develop, organize and launch projects that span engineering and analysis.
What You'll Do:
Lead project teams focusing on ML product development and product analytics. Interact cross-functionally with a wide variety of leaders and teams, and work closely with Engineers and Product Managers to identify opportunities for design and to assess improvements for Google products.
Oversee team projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the business challenges.
Collaborate with stakeholders, understand business questions, and formulate quantitative analysis that informs data driven decisions. Build data products (data sets, analysis, models etc.) and tools to drive hypothesis generation and decision making in partnership with engineering and product management teams. Create actionable metrics and design effective experiments.
Partner with Product, Engineering and Business leadership teams to identify trends and opportunities, and to develop strategic problem solving road maps. Prioritize work to optimize the impact of the data science team.
Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Impact data structures and metrics, advocating for changes for product development and customer engagement activity.
Communicate and visualize insights to multiple levels of stakeholders with clarity, informing decision-making. Design and create interactive visualization dashboard to facilitate custom analytics, trouble-shooting, data storytelling, and evangelization of ML products to non-technical audiences.
Engage broadly with internal and external stakeholders to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
Interact cross-functionally with a wide variety of leaders and teams, and work closely with engineers and product managers to identify opportunities for design and to assess improvements for Impact products. Influence product teams through presentation of data-based recommendations.
Contribute to Data Science COE knowledge sharing and documentation. Provide mentorship to junior team members.
Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product / program launches
Support organizational efforts to screen and recruit members to the data science team
Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team
Develop and communicate clear requirements and goals for team members
Provide timely and actionable feedback on performance to team members
What You Have:
Master’s Degree in Computer Science, Applied Mathematics, Physics, Operations Research, Statistics or other quantitative Social Science fields. PhD preferred.
7-10 years’ of tech industry work experience as a data analyst, statistician, or data scientist. Expert knowledge of statistical data analysis, such as linear models, multivariate analysis, stochastic models, sampling methods, and experimental design.
Well versed in R, Python, and SQL, and big data query language.
Proficient with machine learning, AI, data mining and knowledge of advanced statistical modeling. Experience with big data and cloud platforms to deploy large-scale data science solutions. Knowledge of distributed computing framework.
Predictive modeling, machine learning, and experimentation or causal inference methods
Product Data Science or Growth Analytics, including in depth experience with experimentation
Excellent communicator able to articulate business questions and using mathematical techniques to arrive at an answer using available data.
Forming partnerships and influencing cross-functional leaders in engineering, product, design, or research
Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
Understanding of digital marketing and statistical algorithms typically used in marketing analytics. Experience in advertising technology and affiliate marketing preferred.
Ability to navigate complex business organizations and manage multiple cross-functional stakeholders. Experience in leading large projects preferred.
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
Free Affiliate & Partnerships Industry Fundamentals Certification by PXA.
Salary Range: $165,000 - $195,000 per year, plus eligible to receive Restricted Stock Unit (RSU) grant and additional variable annual bonus contingent on Company performance.
*This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.
Benefits (Perks):
Medical, Dental and Vision insurance
Unlimited responsible PTO
Flexible work hours
Parental Leave
Catered lunch every Friday, a healthy snack bar, and great coffee to keep you fueled.
Flexible spending accounts and 401(k)
An employee-led culture team that plans inclusive events- meaning time together and other events to celebrate our many successes!
An established company with a cool, high-velocity work ethos, where each person can make a difference!
_________
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. | 2023-03-09 |
null | Data Scientist | Gartner | Fort Myers, FL | null | null | About the job
About the role: This is a unique opportunity to join our fast-growing Global Product Management organization and work with a group of data scientists, engineers, and product managers to drive significant business impact. Your team focuses on leveraging Gartner’s proprietary data to innovatively bring better products to our clients across all industries. We are leveraging data science to define and implement new business models and build data-driven products. Your role specifically will be to apply data science with design thinking and lean product principles to define, design, and implement algorithms that are core to our business and set the foundation for new products. Ideal candidate should want to deeply understand our client’s needs and be a champion for applying data science to improve the client experience. Come join us building something great!
What you will do:
Given the broad areas that we are responsible for, you will likely to start with a domain but may get involved in other domains. A few potential projects or products you may get involved with:
Applying Natural Language Processing (NLP) to advise Chief Information Security Officers (CISOs) on emerging security threats
Using machine learning and topic modeling to advise Chief Information Officers (CIOs) on recommended topic areas for engagement
Using predictive modeling to develop forward-looking projections of emerging trends in venture capital investment to advice Tech CEOs
Using statistical analysis to advise Chief Marketing Officers (CMOs) on the effectiveness of marketing campaigns
Leveraging design thinking, client input, and a “data science mindset” to identify, prioritize, and assess opportunities to leverage data science to deliver value to our clients
What you will need:
1-3 years hands-on experience building predictive models, recommendation systems, and/or NLP/text mining tools.
Familiar with the foundational approaches to the major data science disciplines, such as data preparation, advanced statistics, machine learning, simulation, and natural language processing
Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies
Connections to the recommendations and / or information retrieval academic community
Experience and proficiency with various programming languages (e.g., Python), machine learning tools (e.g., scikit-learn), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), Linux and shell scripting
Passion for new product development and product development lifecycle, including product strategy, development, and launch
Bachelors in a quantitative research field preferred (e.g., Computer Science, Electrical Engineering, Applied Mathematics, Physics, etc.).
Who are we?
Gartner delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have nearly 16,000 associates globally that support our 14,000+ clients in more than 100 countries.
What makes Gartner a great place to work?
Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We believe that a variety of experiences makes us stronger—as individuals, as communities and as an organization. That’s why we're recognized worldwide as a great place to work year after year. We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner
What we offer:
Our people are our most valuable asset, so we invest in them from Day 1. When you join our team, you’ll have access to a vast array of benefits to help you live your life well. These resources are designed to support your physical, financial and emotional well-being. We encourage continued personal and professional growth through ongoing learning and development opportunities. Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:76158
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. | 2023-03-09 |
null | Sr. Decision Scientist | ZipRecruiter | Santa Monica, CA | null | null | About the job
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
Drive forward the product roadmap as a Senior Decision Scientist embedded with our Product and Engineering teams. Specifically, bring to bear the following quantitative tools to help your product teams make better decisions:
Descriptio
Use descriptive statistics to measure product performance. Help the team diagnose the potential causes and solutions when those statistics move unfavorably.
Experimentation
Act as the end-to-end owner of hypothesis driven experimentation for your product team. Deliver rigorous analysis and clear, practical recommendations.
Inference
Conduct statistical inference to complement your team’s understanding of its products and users. Infer causality of a mechanism when you can’t test it.
Key Focuses:
Influence your stakeholders and executives to make better product decisions. Be willing to tell uncomfortable truths.
Become deeply familiar with our product data. Understand the limitations and caveats. Use our data to plan and complete analysis that supports product development.
Propose analyses that your product manager and engineering team haven’t considered yet. Provoke new and deep thinking in your team. Level up their understanding of our product data.
Build clear and compelling data visualization so that your stakeholders can analyze product health on their own.
Minimum Qualifications:
Bachelor's degree in a quantitative field such as mathematics, computer science, operations research, economics or equivalent experience
5+ years of product analytics experience (optional: in a product/engineering/tech environment)
Experience designing experiments, testing, and utilizing statistical principles to inform business decisions
Extensive knowledge and practical experience in several of the following areas: theory and practice of probability and statistics, causal inference, experimental design and analysis, synthetic control, product ecosystems, Bayesian inference.
Proficient in statistical computing and scripting languages such as Python, R, SQL
Preferred Qualifications:
Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations research, economics
As part of our team you’ll enjoy:
Competitive salary
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
The US base salary range for this full-time position is $157,500 - $185,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice | 2023-03-09 |
null | Senior Data Scientist | Flow | New York, NY | null | null | About the job
About The Company
Flow aims to create a superior living environment that enhances the lives of our residents and communities by developing, acquiring, owning, and managing multifamily apartment buildings and the services and technology inside those buildings.
Fulfilling our mission will require an exceptional group of people whose collective output is greater than the sum of its individual parts. Our team members are energized by the opportunity to impact our residents’ lives in meaningful ways. They are bold and creatively ambitious, driven by relentlessly high standards, act with a sense of urgency and accountability, and always, above all, operate with integrity, loyalty, and trust.
About The Role
We’re looking for a Data Scientist to join our team. This role will be responsible for analytics across our business, from metrics definition and data instrumentation design to ongoing reporting, investigation, and research.
The Data Scientist is a key member of the tech team, reporting to our BI Product Manager. As a Data Scientist, you will be responsible for creating metrics to validate performance, proposing new algorithmic approaches to improve our business, and storytelling through data visualizations. You’re excited to solve data shalleges across both digital and physical products as well as across multiple business verticals.
Responsibilities
Develop a deep understanding of our business and define how we measure success
Build data delivery for the company, enabling our teams to have the right information to make critical decisions
Run experiments and develop data visualizations to enable observability and communicate results to across the company
Architect, build, test, document, and launch predictive models and new data applications
Answer complex business questions and define new and existing metrics via SQL queries
Ideal Background
A minimum of 5 years experience in a data science role
Excellent in SQL and Python/R
Strong data visualization skills and ability to present insights from analysis
Experience with enterprise business intelligence tools, such as Sigma or Tableau
Experience with hypothesis testing, experimental design, and a strong understanding of statistics
Deep understanding of the first and second order effects of reporting — you know the power of presenting the right data to the right people at the right time
Inherent curiosity and analytical follow-through — you can’t help but ask “why?” and love using data and logic to explore potential solutions
Highly collaborative and able to communicate effectively, both verbally and in writing
A team player who can easily adapt in a rapidly changing environment
$130,000 - $170,000 a year
Benefits
Medical, dental, and vision insurance plans
Paid-Time Off
Commuter benefits
401(k) Plan
Flow is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and/or expression, pregnancy, Veteran status any other characteristic protected by federal, state or local law. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. | 2023-03-09 |
null | Data Scientist | Stellantis | Michigan, United States | null | null | About the job
Your Mission
The Global Analytics & Data Products Team is looking for a Data Scientist. As a key member of the Data Science Team, your mission is to put science into decision making.
Responsibilities
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities
Partner with cross-functional teams to prioritize domain use cases for customer engagement and monetization
Develop novel research to deduce and draw conclusions from behavioral data to directly influence development
Design, analyze and graduate experiments within your domain assignments
Provide technical leadership to data scientists with a wide range of backgrounds through code reviews
Democratize and socialize learning by centralizing learning in a internal repository and external blog
Understand stakeholder needs and educate partners on the formulation of research questions and methodologies
Evangelize our data science practice within the company to increase research utilization and recruit new talent
Top Performers Will Be Able To Demonstrate
Successful influencing of non-technical peers and leadership to deliver substantive change
Measurable consumer engagement impact through analysis, statistical models or products built
Measurable revenue impact through analysis, statistical models or products built
Measurable consumer experience impact through analysis, statistical models or products built
Qualitative and quantitative deductions from experimentation that lead to product optimization
Your Platform,
A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.
Our World
Great mobility solutions start with great people! This is an exciting time to join us!
Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.
In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate, and our people live and work.
EOE/Disability/Veteran
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field
1 year or more of experience in advanced analytics / data science
Strong technical skills with SQL, R, Python for data analysis and experience in ML driven products
Experience with distributed analytical processing technologies - Spark, Hive, Presto
Experience in deriving narrative from data and communicate the results effectively
Experience in AB testing and causal inference methodologies
Demonstrated programming skills in software development settings a plus
Preferred Qualifications
Be active in the industry, recognized for the application of science within your industry
Exemplifies multidimensional skill sets -- data science, experimentation, analysis, engineering, etc
Experience with predictive and prescriptive modeling machine learning, a plus
Annual | 2023-03-09 |
null | Master Data Scientist | HP | Washington, United States | null | null | About the job
Unique mastery and recognized authority on relevant subject matter knowledge including machine learning technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in HP’s most complex disciplines. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.
Responsibilities
Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
Defines and implements models to uncover patterns and predictions creating business value and innovation.
Manages and creates relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
Communicating business value and innovation potential through effective insights/visualizations.
Represents the business at data science events, forums, boards.
Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
Defines, communicates and drives data insights/innovation into the business.
Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
Provides guidance, training and mentoring to less experienced staff members.
Knowledge & Skills
Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
Demonstrated innovation in the domain
Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
Leads multiple projects requiring data engineering solutions development.
Drives design innovation.
Education & Experience
Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
Typically 10+ years’ experience including graduate or postgraduate research.
In accordance with applicable law, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID 19 (as defined by the CDC) as of your first day of employment.
HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.
So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.
From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive! | 2023-03-09 |
null | Staff Data Scientist, Innovation (Remote) | Kohler Co. | Somerville, MA | null | null | About the job
Work Mode: Remote
Location: Remote
The Staff Data Scientist - Innovation is responsible for the design and development of state-of-the-art algorithms and the integration of data sources to convert data from across the power grid into actionable information that enables the decision making of stakeholders and empower Heila’s innovative algorithms to perform adaptively to a rapidly evolving industry. Use cases will include Distributed Energy Resource (DER) modeling and “fingerprinting”, time series forecasting for complex microgrids, and analyzing data from microgrids, Virtual Power Plants (VPPs) and energy markets. As part of their role, they must be able to partner with Heila’s Engineering, Product and Projects Teams to deliver answers to complex technical questions, as well as the necessary analyses and feasibility reports to unlock projects. They will also be responsible for project delivery capabilities, data insight opportunities with external stakeholders, product roadmap, and feature development timelines.
Specific Responsibilities
Research, design and develop state-of-the-art learning algorithms for methods for forecasting time series, estimating DER states and system events to keep Heila at the leading edge of technology using innovative methods and solutions.
Representation and integration of user utility functions and industry objectives into algorithms.
Help support the development of digital twins of evolving microgrids and DERs through analysis and integration of new and legacy data streams across the industry.
Actively participate in strategic discussions for the algorithms and integration into the Heila product roadmap.
Lead teams during experimental tests of algorithms in field deployments, including ownership of timelines, milestones, and deliverables for key algorithms in high-impact projects across the industry.
Develop communication strategies to convey control concepts to customers, collaborators, and other industry players.
Interact with customers to understand their needs and inform the product’s features roadmap.
Support the writing of whitepapers, reports and presentations to industry stakeholders.
Facilitate knowledge sharing by owning and maintaining comprehensive documentation on architecture and processes.
Train and mentor junior teammates.
Skills/Requirements
MS/PhD degree in engineering or computer science.
3+ years working with large data sets and methods used to analyze power systems, DERs or a related field, including time series forecasting, state prediction, clustering methods.
Knowledge of object oriented programming languages including Python, Java and C++.
Knowledge of machine learning algorithms and state-of-the-art methods used in the industry.
Ability to learn and own solutions for new concepts through research and development.
High attention to detail with excellent organizational and analytical skills.
Excellent troubleshooting and problem-solving abilities.
Capacity to communicate domain knowledge and developed solutions with customers, partners and wider industry.
We will consider applicants requiring sponsorship for this opportunity.
Why Work at Kohler Co.?
Kohler Co.'s mission is to contribute to a higher level of gracious living for those who are touched by our products and services. We understand that it takes investment in our associates’ development to make that happen.So, we offer ongoing investment in each individual’s personal development and the opportunity to collaborate with others across functions and roles at Kohler.
In addition to the investment in your development, Kohler offers a benefits package including a competitive salary, health, vision, dental, 401(k) with company matching, and more!
About Us
Beyond the competitive benefits and compensation, Kohler proudly offers a rich history, steeped in creativity and a commitment to our associates and communities.We invite you to learn more about our culture and company at www.kohlercompany.com .
It is Kohler’s policy to recruit, hire, and promote qualified personnel in all job classifications without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran.If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact kohlerjobs@kohler.com . Kohler Co. is an equal opportunity/affirmative action employer.
We invite you to learn more about equal employment opportunity by reviewing the Federal EEO is the Law and the EEO is the Law Supplement . | 2023-03-09 |
null | Senior Data Scientist | Shelf Engine | Seattle, WA | null | null | About the job
At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting and fully automated ordering to food retailers across the United States. We’re able to drastically reduce the amount of food waste generated while simultaneously maximizing sales and expanding margins for grocers—a triple win for suppliers and retailers, consumers, and the environment.
Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop best-in-class machine learning and advanced statistical models to achieve business objectives. You’ll accomplish this by clarifying requirements, scoping projects, identifying appropriate algorithms from ideation to launch and iteration. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.
This position is based in Seattle, WA or remote.
As a Senior Data Scientist at Shelf Engine, you will:
Research, build, and launch machine learning and advanced statistical models to solve complex problems
Learn and share knowledge with the team to determine strategies, solutions, and initiatives
Provide technical mentorship and expand training to improve data science best practices
Design, analyze, and interpret the results of experiments
Work closely with Engineering, Operations, and Customer teams to identify problem areas and develop robust, scalable solutions
Embrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers
What we are looking for in a candidate:
You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic
3-5+ years industry experience with some combination of:
Experience putting models into production or with a live online system
Experience working with big data and standard tooling (e.g. Python, SQL, Spark)
Experience with performance monitoring and automated alerting
Experience with production ML tooling (e.g. Airflow, Databricks, Azure, AWS, or GCP)
You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflow.
You have experience in advanced machine learning, statistics, experimentation, and optimization.
Nice to have: experience building supply chain or inventory management solutions
You have a Masters/PhD degree in a STEM field.
You are authorized to work in the U.S. for any employer.
What Shelf Engine offers you:
A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environment
An inclusive work environment that emphasizes each team member’s personal and professional growth
Competitive salary in the range of $140,000 to $165,000 depending on skills and experience
Pre-IPO equity with a four-year vesting schedule
PTO that is unlimited and self-managed for full-time employees
100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependents
Coverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance Program
Optional employee contribution of pre-tax dollars to medical and dependent care FSA accounts
401k plan through Guideline to contribute to your financial future
Seattle only: Company-paid ORCA transit card
About Us:
At Shelf Engine, you will join a team of driven, passionate, and caring people hungry to make change in an untapped industry. We’re not only solving complex technical problems at scale but also tackling key initiatives with significant environmental impacts. Our team is determined to disrupt a massive industry and leave behind a positive legacy for generations to come.
Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. | 2023-03-09 |
null | Data Scientist | CVS Health | New York, NY | null | null | About the job
Job Description
Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Data Scientist to Develop and implement analytics applications and models to transform data into meaningful information. Duties include: design and develop data solutions using industry leading tools, technologies and best practices to profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business; develop advanced algorithms and statistical predictive models to evaluate scenarios and provide usable information on health metrics and potential future outcomes; extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity); utilize strong programming skills to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; support deployment of insights across multiple channels and work on mathematical analysis methods, machine learning, and statistical analyses.
Pay Range
The typical pay range for this role is:
Minimum: $ 128,100
Maximum: $ 128,100
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications
Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of experience in each of the following: CI/CD, Jenkins, or GIT; Programming in R, Hadoop, or Python; XML, JSON, HTML, CSS, or JavaScript; REST, SOAP, or Web Service APIs; Writing clean, high quality, high performing, scalable code; Analyzing large data sets from multiple data sources; and Machine learning, statistical analysis, and predictive modeling
Preferred Qualifications
See Required Qualifications.
Education
See Required Qualifications.
Business Overview
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. | 2023-03-09 |
null | Senior Data Scientist, NLP | Flatiron Health | United States | null | null | About the job
We're looking for a Senior Data Scientist to help us accomplish our mission to improve lives by learning from the experience of every cancer patient. Here's what you need to know about the role, our team and why Flatiron Health is the right next step in your career.
What You'll Do
At Flatiron, we’re pioneering the use of machine learning (ML) and natural language processing (NLP) to extract clinically relevant information from unstructured medical notes for use in oncology research. The Prism team is helping to build these next generation research data products, developing ML models to capture a complete picture of the patient journey. While most of the team are Data Scientists, Prism has team members spanning 5 different fields, from data science to product management to research oncology.
You will work with the Prism team to help guide our product roadmap and help lead the technical development effort of our models. Engaging with a cross-functional group of stakeholders both within Prism and across the company, you will lead model development projects from scoping through to productionization and delivery.
In Addition, You'll Also
Interface with internal scientific stakeholders and customers to understand what data they need to conduct high quality research.
Apply ML and NLP techniques to turn raw clinical data into high quality research variables.
Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific insights.
Collaborate with other Data Scientists on our team and across the company to level-up our ML capabilities by developing new ML architectures.
Work cross-functionally with software engineers to productionize these new variables.
Who You Are
You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact.
You have 4+ years of relevant working experience in a technical capacity, with a focus on ML and NLP.
You have a strong background in applying ML to solve real-world problems.
You have collaborated with other technical team members in a production development environment using formal version control, Python, and SQL.
You have led large, cross-functional initiatives and excel at influencing decision-making without authority.
Extra Credit
You have experience with Deep Learning and LLMs.
You have ML experience in a healthcare setting.
You have experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting.
Life at Flatiron
Benefits
At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer
Work/life autonomy via flexible work hours and flexible paid time off
Comprehensive compensation package
401(k) contribution to help you reach your retirement planning goals
Financial health resources including 1:1 financial advice
Mental well-being tools and services
Parental benefits and policies including family-building care and generous paid leave
Path to parenthood programs supporting fertility, adoption and surrogacy
Travel support for safe healthcare services
Lifestyle spending account for perks that make sense for you and your family
In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning through professional development programs and celebrate Diversity in the workplace.
Flatiron Health is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Salary Range: $163200 - $244800
Preferred Primary Location : NYC Headquarters
The annual pay range reflected above for this position is based on the preferred primary location of the role which is listed in the job description. Salary ranges for other locations vary from the range reflected above. Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. | 2023-03-09 |
null | Sr Data Scientist | UKG | Lowell, MA | null | null | About the job
Description
At UKG we are at the forefront of innovation leading the next wave of disruption in the Human Capital Management industry. With our unparalleled dataset, that gives the most complete view into our customers most valuable assets---their human assets, we are building groundbreaking artificial intelligence that is changing the way we work. Employing the latest advancements in data science and AI, you will impact millions of UKG customers by unlocking the opportunities to help employers create a more effective and efficient workforce, and employees work and live more satisfied, enriched, and rewarding lives.
We are looking for data scientists with a strong mathematical foundation, experience building AI-based solutions on real world data, and a pioneering mindset to join the team and help deliver new AI innovation into our platform.
Responsibilities
Work with domain experts, perform data studies and analysis on billions of records from our one-of-a-kind dataset to identify meaningful business opportunities
Apply statistics, machine learning, and a variety of other techniques to analyze the data, generate models, and prototype new AI solutions
Build production ready prototypes and collaborate with others to bring concepts to life in the product.
Communicate findings to stakeholders and a broader audience of technical and non-technical persons.
Thrive in different working environments. Both in independent, self-driven, research and development, and in collaborative, team-driven, projects.
Qualifications
Education and experience in a quantitative field. PhD, or master’s degree plus 2 years of experience.
Experience in at least 1-2 machine learning or AI subfields, including but not limited to regression, classification, deep learning, time-series analysis, clustering, NLP, transfer learning, etc.
Practical ability to visualize data, communicate meaningful business insights, and utilize them effectively.
Programming experience and the ability to rapidly develop prototypes of new solutions
Experience with big data tools and frameworks, such as Cloud ML or Big Query, is a plus
Experience with ML Models deployed in SaaS applications is a plus
SQL, or experience with another database technology.
Python, or experience with another scripting language. Experience with programming packages like Pandas is desired.
Willingness to learn new tools as they become needed.
Company Overview
Here at UKG, Our Purpose Is People. UKG combines the strength and innovation of Ultimate Software and Kronos, uniting two award-winning, employee-centered cultures. Our employees are an extraordinary group of talented, energetic, and innovative people who care about more than just work. We strive to create a culture of belonging and an employee experience that empowers our people. UKG has more than 13,000 employees around the globe and is known for its inclusive workplace culture. Ready to be inspired? Learn more at
EEO Statement
Equal Opportunity Employer
Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View
View the
UKG participates in E-Verify. View the E-Verify posters
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com. | 2023-03-09 |
null | Staff Data Scientist, Core | Cruise | San Francisco, CA | null | null | About the job
We're Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.
The Data Science and Analytics team is dedicated to building metrics and models to explain and diagnose the performance of our AV technology. Our team guides strategic decision making through statistical analysis and experimentation, and improves the AV stack with data driven models, decision thresholds, and simulation testing. As a Staff Data Scientist you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.
What You’ll Be Doing
As a Staff Data Scientist, you will work directly with an array of partners, including executive leadership, Autonomous Vehicle (AV) engineers, product managers, and operations teams.
As a leader, you will demonstrate and develop team-building skills by:
Defining success criteria from ambiguous problem statements
Defining the roadmap for your product area
Mentoring fellow Data Scientists and fostering a positive, collaborative work environment
Role-modeling a humble, positive, and growth-oriented attitude
Translating complex concepts into clear and meaningful recommendations for partners.
Responsibilities
As an individual contributor, you will be responsible for extracting high-impact insights from our extensive collection of on-road and simulation data by
Understanding the tradeoffs associated with common machine learning model architectures
Debugging model outliers/edge cases
Measuring model uncertainty
Analyzing model performance and feature importance
Analyzing AV behavior changes exposed in driving and simulation, and uncovering the source of those changes
Deploying production systems that deliver continuous insights
Quantifying the impact of using statistical methods, data mining, and experimental design principles
Collaborating with team members to build shareable tools, methods, and dashboards
Converting insights into concrete, significant recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership
The ideal candidate for this role is passionate about the AV Industry, has a track record of discovering insights from extensive data, and works to discover and address customer needs through their output.
What You Must Have
A Masters or PhD degree or equivalent experience.
7+ years post-academic experience in data science, machine learning, or a closely-related field.
Significant statistical experience in data-intensive on-line systems. Examples include real-time metrics tracking systems and A/B testing methodologies.
Experience deploying feature and model pipelines at scale, and monitoring model performance.
Experience designing, training, and critically analyzing ML models for big data.
Experience developing and maintaining automated reporting tools for management and other partners.
Productive in both SQL and Python.
Creative, inventive, and passionate about seeking new solutions to problems and opportunities
A track record of leading multi-functional initiatives
Experience in advising leadership at the director, VP and CTO level on technical strategy and tech teams talent needs.
Bonus Points!
Experience with MapReduce frameworks (Hadoop, Spark, BigQuery) and/or Apache Beam/Google Dataflow
Experience with Deep Learning and statistical analysis of ML models
Experience in AV or Automotive industry
The salary range for this position is $175,500 - 229,200. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.
Why Cruise?
Our benefits are here to support the whole you:
Medical / dental / vision, AD+D and life insurance
Subsidized mental health benefits
One Medical membership
Flexible Spending Account
Monthly wellness stipend
401(k) match
Paid time off: vacation, sick, public health emergency, jury duty, bereavement and company holidays.
Paid parental, family care and medical leave
Family care benefits: fertility benefits, Dependent Care Flexible Spending Account (subsidized by Cruise).
Non-remote employees: Pre-tax Commuter Benefit Plan, healthy meals and snacks
CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office time.
We’re Integrated
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
We’re Funded
GM, Honda, Microsoft, T. Rowe Price & Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.
We’re Independent
We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
We’re Vested
You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow.
Recurring Liquidity Opportunity (RLO) - a unique equity program where employees, both current and former, have the option to sell any amount of their vested equity on a recurring basis, currently quarterly.
We’re Safety Conscious
We integrate #staysafe, our top priority at Cruise, into our everyday work. Through our Safety Management System, every Cruiser is asked to do their part by reporting any potential issues or hazards they observe and making continuous improvements. You’ll be able to contribute to safety at Cruise, no matter your job function or title.
Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives.
We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email HR@getcruise.com.
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners. | 2023-03-09 |
null | Data Scientist | Found | New York, NY | null | null | About the job
About Found
The self-employed workforce is a rapidly growing, resilient, and colorful 60 million Americans. But self-employment comes with its own set of challenges: navigating taxes, accounting, bookkeeping, and business banking are just a few. That’s where we come in.
Found is building tools that give self-employed people the security and peace of mind that has historically only been possible at big corporations. We’re a business bank account that automates taxes and expense tracking because we believe small business owners should spend more time doing what they love and less time on their business finances.
We’re looking for kind, resourceful, and passionate people to join us in building the safety net for self-employment.
About this role:
Hi, I’m Aabhas and I’m the CTO here at Found. Thanks for your interest. Our team is responsible for taking products from ideation to being used by tens of thousands of users every week. We're a small but experienced team that has worked on complex problems such as money movement and taxes at Square, on-demand delivery at Uber, and building large-scale support solutions at Microsoft. Our team values moving fast while moving safely, investing in engineering excellence, and sharing learnings early and often.
We are looking for our first Data Science hire for the Risk Engineering team, and I personally review every application, so if you have any questions please include them in your application.
Some fun facts about our Risk Engineering team:
The team has gone from inception 6 months ago to being responsible for performing risk analysis on $600M+ of money movement per year – protecting the company from millions of dollars of potential financial loss per year.
We’ve built several new systems from scratch, including introducing advanced scoring in the hot path (card swipe), Airflow-based fraud pipelines, and more.
Supported the launch of several new methods of moving money in and out of our platform.
Day to day, you will:
Identify different areas of known and unknown risk and provide insights to reduce risk.
Analyze large amounts of device, user, and behavioral data to identify clusters of bad users.
Identify and create new risk signals to detect fraud.
Propose product solutions based on learnings from our data to add friction for fraudulent users without negatively impacting the product experience for good users.
Partner with Risk, Compliance, and Data Engineering to measure and consistently improve risk metrics.
Design and build tools for the Risk Operations team to automate processes and decision-making.
Research novel techniques and best practices to parse large, diverse data sets.
To thrive in this role, you have:
5+ years in Data Science/Analytics.
Expert with Python/R and SQL.
Ability to translate complex data into actionable insights for all stakeholders.
Proven track record of driving product direction by using data.
You may also have:
Previous experience working in Financial Risk.
Experience in building ML-based Fraud and Risk models.
Previous startup experience.
Experience with bookkeeping or taxes and how it relates to self-employment.
About You
Found is built by a team that comes from a variety of backgrounds and experiences, and we firmly believe that diversity, equity, and inclusion are crucial to our success. As we grow, we’re searching for passionate and motivated team members who are excited to bring their skill set to the team and are ready to learn from others.
If you are looking for a role where you will have the opportunity to make a meaningful contribution and great impact, we would love to hear from you!
Perks & Benefits Of Found
401K, FSA, and Commuter Benefits: We offer all employees access to tax-efficient benefit options alongside competitive base compensation.
Paid parental leave: Found supports employees through all stages of life, which is why new parents employed by Found qualify for 16 weeks of flexible parental leave.
Health benefits: Comprehensive medical, dental, and vision benefits and are always 100% covered for employees, 75% covered for dependents.
Work anywhere: We have Found offices in SF, Seattle, and NYC. For team members who work outside those cities, Found also supports fully remote working.
Meaningful equity: Everyone on our team should feel and act like an owner, which is why Found offers industry-competitive equity to all of our employees.
Flexible vacation policy: Vacations, appointments, mental health days- take the time you need, whenever you need to with our flexible time-off policy
To learn more about our benefits or the team please go to found.com/careers. | 2023-03-09 |
null | Principal Data Scientist | HubSpot | United States | null | null | About the job
We’re seeking an experienced data scientist to join HubSpot’s Revenue Operations Group. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s revenue operations teams as well as improve the employee experience. Successful candidates will need to work with stakeholders to deeply understand their business problems, creatively design data science based solutions and lead the timely execution of the implementation of the chosen plan. We are especially interested in candidates with domain experience in natural language processing techniques. We believe that this position will be rewarding as there are significant opportunities to expand HubSpot’s internal capabilities and work on greenfield initiatives. You will also be joining a strong and supportive team of data scientists and analytics engineers that highly value intellectual curiosity.
Objectives of this Role
Build strong relationships with internal stakeholders and develop a deep understanding of their business problems.
Identify and mature data sources that will further data science and business analytics at HubSpot
Design and build machine learning and statistical models that improve the performance of HubSpot’s revenue operations group
Use data to inform key business decisions and communicate findings effectively with senior leadership
Keep current with technical and industry developments
Role Responsibilities And Duties
Query, organize, integrate and clean data from multiple sources including both structured and unstructured data.
Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation.
Leading data science initiatives throughout the entire model life cycle to improve the performance of the revenue operations group in partnership with internal stakeholders
Mature the data science practice at HubSpot by improving the breadth and depth of internal feature stores and mentoring junior analysts
Execute analytical experiments methodically to rigorously test potential solutions and strategies
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Skills And Qualifications
Degree in statistics, applied mathematics, economics, computer science or other quantitative discipline
5+ years experience in data science with multiple models deployed in an operational setting.
Expert level knowledge in SQL and python programming
Proficient using version controls systems (git/github)
Ability to effectively communicate data science concepts and results to non-technical audiences.
Ability to use data to persuasively present to senior management to inform strategic decision making.
Preferred Qualifications
Master’s degree in a quantitative discipline
2+ years of experience leading data science initiatives
Experience using a deep learning python framework (tensorflow, pytorch, etc)
Experience building natural language processing models
Cash compensation range: 200,000-240,000 USD Annually
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer.
The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of the benefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@hubspot.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Important COVID-19 Guidance (For candidates applying to roles in the United States):
Per HubSpot’s policy all employees who wish to work @office or @flex or to visit an office in-person must be fully-vaccinated. At this time, @remote employees are not required to be vaccinated.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information. | 2023-03-09 |
null | Data and Machine Learning Scientist | MITRE | San Diego, CA | null | null | About the job
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.
MITRE’s Naval C4I & Space Department is seeking a highly motivated candidate to serve as a Data and Machine Learning Scientist. MITRE’s Naval C4I & Space Department delivers innovative engineering technologies, concepts, and methodologies and performs research and development designed to address our Naval sponsors’ hardest challenges. We aim to provide the U.S. Navy and its Partners with Command, Control, Communications, Computers, & Intelligence (C4I) and Space capabilities to operate in all domains. We strive to be a recognized leader for C4I systems engineering and maritime security, a gateway for our sponsors to the whole of MITRE, and the Government’s architect for the Information Age. This position requires creative problem solving through novel applications of systems engineering and data science principles in collaboration with diverse and geographically dispersed teams.
Roles and Responsibilities:
Expert in data science, machine learning, and artificial intelligence that can creatively utilize industry standard and emerging methods to satisfy business and operational objectives
Develop an understanding of ‘bigger picture’ requirements through regular, routine interaction with Naval operators and translate that understanding into ideas, designs, and solutions
Discover and strategize new ways to apply data science to intelligence analysis & tradecraft
Generate ideas and prototype solutions that increase the sponsor’s return on investment on its information assets
Creatively explore methods for aggregating and associating geospatial and maritime data with other information assets
Optimize mission readiness using data science methods
Connect the sponsor to existing solutions that satisfy their mission requirements, wherever they exist (e.g., MITRE, industry, government, academia)
Minimum Qualifications:
Typically requires a minimum of 8 years of related experience with a Bachelor’s degree in Data Science or a related discipline; or 6 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience.
Active TS/SCI level security clearance
Experience working on Naval AI Programs
Experience working on Naval C4I & Space systems from technical and/or operational perspectives
Proficiency in at least two programming languages (e.g., Python, R, Java)
Leadership experience
Preferred Qualifications:
Proficiency in at least two machine learning frameworks (e.g., TensorFlow, Keras, PyTorch)
Ability to learn or adapt to new data science toolkits in constrained environments
Experience in data visualization and data narration for varying audience levels
Excellent problem solving skills combined with an ability to work with unknowns, such as new technologies, techniques, processes, software languages, platforms, and systems
Experience working on Naval C4I & Space systems from technical and/or operational perspectives
A passion for solving challenges with depths of complexity that span technical engineering considerations, programmatics, and the operational environments in which capabilities are employed
Strong technical writing and presentation skills
Creative, curious, and enthusiastic thought leadership
Collaborative and goal oriented
Agile software development leadership
This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret/SCI
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None
Salary compensation range and midpoint:
$135,500 - $169,500 - $203,500 Annual
Work Location Type:
Hybrid
Subject to all federal and state laws, rules and regulations, MITRE requires all employees to be fully vaccinated against COVID-19. Newly hired employees must be fully vaccinated prior to their employment start date. MITRE will provide reasonable accommodation to individuals who are legally entitled to an exemption under applicable laws so long as it does not create an undue hardship for MITRE and/or does not pose a direct threat to the health or safety of the employee or others in the workplace.
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please contact MITRE’s Recruiting Help Line at 703-983-8226 or email at recruitinghelp@mitre.org.
Copyright © 1997-2023, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here | 2023-03-09 |
null | Data Scientist | Storm2 | United States | null | null | About the job
Data Scientist
Digital Fraud Defence 🚀
US - Remote 🌎
$130,000 - 140,000 + Equity
Our client is one of the US’s most rapidly growing RegTechs focusing on AI-powered fraud solutions for financial institutions. The team is comprised of individuals with backgrounds in FinTech, e-commerce, top consulting firms and startups - all with a shared passion for fighting financial crime.
They are looking for a Senior Data Scientist to help build new fraud detection models. They need someone who is a data enthusiast, able to dive deep into complex modelling and pricing a product accordingly.
You will be part of the early team at this company with a seat at the table where key decisions shaping the Company’s future are made. You will be working in a fast-paced, rapidly growing environment where you will be relied on for your expertise, organization, and enthusiasm for an early-stage company.
About you
2+ years of professional experience as a Data Scientist or ML Engineer
Experience with advanced ML techniques such as Clustering, Logistic Regression, Random Forest, time series forecasting, etc.
Experience with Fraud or Credit Risk modelling is a plus
Previous full time position with a start-up is a plus
What we offer:
An opportunity to have positive social impact fighting financial crime
Remote work opportunities
Health and Dental Insurance
Generous equity package
If the above description sounds like you then we’d love to hear from you! Please click on the “Easy Apply” button at the top of this page and follow the instructions to send us your application. | 2023-03-09 |
null | Staff Data Scientist | Walmart Global Tech | Sunnyvale, CA | null | null | About the job
Are you a hardcore numbers person who would enjoy solving some of business’ toughest challenges by illuminating phenomena and opportunity held within one of the world’s largest data sets? As a Staff Data Scientist at Walmart, the mammoth scale and volume of our global data is virtually limitless. You will create insights that influence how we make decisions that have impact at an unprecedented scale.
About Us:
The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.
You’ll make an impact by:
· Processing complicated and large-scale datasets using distributed computing platform, extracting insights from data, predicting future trends, and optimizing business metrics.
· Building advanced machine learning and deep learning models with various applications in marketing, such as customer targeting and personalized recommendation.
· Running large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in marketing applications which drives millions of clicks to Walmart eCommerce per day.
· Building compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
You’ll sweep us off our feet if…
· You’re an inquisitive, out-of-the box thinker who’s continually on the lookout for opportunities to improve and innovate data science solutions
· You have consistently high standards, your passion for quality is inherent in everything that you do
· You have the courage to fail fast
· You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment
· You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
Minimum Qualifications
· Master’s degree in computer science, Statistics, Optimization or related field plus 4 years' experience in a machine learning/deep learning related field.
· Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform (Python, R, SQL, Spark, Hive etc.).
· Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
· Experienced with end-to-end modeling projects emerging from research efforts.
· Strong written and oral communication skills.
Preferred Qualifications
· Ph.D. degree in Computer Science, Statistics, Optimization or related field plus 2 years' experience in a machine learning related field.
· 2+ years of experience mentoring junior data scientists.
· Industrial experience in search engine marketing, computational advertisement, recommendation systems, eCommerce or relevant areas.
· Proficient in at least one programming language (Java/Python/Scala etc.) and experience in productionizing industry-scale machine learning models
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About Walmart Global Tech
Imagine working where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make epic impact and are leading the next retail disruption. People are why we innovate, and people power our innovations.
Who We Are
Join Walmart and your work could help approximately 220 million global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world’s leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability and community involvement. careers.walmart.com.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. | 2023-03-09 |
null | Data Scientist | Envision | Missouri, United States | null | null | About the job
***W2 Candidates Only***
MS Computer Science, Engineering, Technology, Mathematics, Statistics, or related field with 3+ years of industry experience or BS + 5 years' experience
Hands on coding experience with Python building end-to-end systems as an MLOps Engineer, Machine Learning Engineer, Software Engineer, or equivalent
Experience in ML model development, orchestration, deployment, monitoring, support and creating and maintaining deployment pipelines with CI/CD tools
Experience with cloud computing platforms like AWS, GCP, or other cloud providers developing with containers (e.g., Docker, Kubernetes) in cloud computing environments
***W2 Candidates Only*** | 2023-03-09 |
null | Data Scientist | Globant | Colorado, United States | null | null | About the job
We are a digitally native technology services company where innovation, design and engineering meet scale. We use some of the latest technologies in the digital and cognitive field to empower organizations in every aspect.
Right now, we’re looking for Data Scientists to join our team at Globant!
You will get the chance to:
Work with professionals who have created some of the most revolutionary solutions in their fields.
Make an impact. Work in large-scale projects globally.
Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges.
Develop your career within an industry or multiple industries.
Work in the city you want, and be nourished by cultural exchanges.
Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work.
Be part of an agile pod. Driven by a culture of self-regulated teamwork, each team -or POD- works directly with our customers with a full maturity path that evolves as they increase speed, quality and autonomy.
What would help you succeed:
Believe and love what you do.
Enjoy solving problems.
Have imagination and you love innovating.
Being flexible & goal oriented.
Advanced English skills.
High performance analytics.
Experience with Java or Python.
Practical experience in Google Cloud Platform, using at least this part of the stack: Apache Beam, DataFlow, DataProc, DataPrep (is a plus!), Big Query and Cloud Storage.
Understand, guide and define the actionable output and required decision support to be obtained from a model.
Explicit and mathematize working hypothesis -axiomatize- to either validate or reject through modeling.
Analyze data sources for completeness of data semantics and gaps.
Develop the process to assess information quality and ready the data to be fed into a mathematical model.
Tune/calibrate/train the model for the required accuracy -generality trade off
Extract actionable output from model.
Analyze, interpret and present output.
Build required analytical workflow for modelling - system wide exempted.
Circle back to a refined problem definition to keep improving performance and actionability related to business strategy and capabilities.
At Globant we believe that an inclusive culture and a diverse environment makes us stronger. We encourage people to have an inclusive spirit as our global footprint expands. We seek to generate a place of inspiration and growth for everyone. A safe space, based on equity as a value, where everyone's careers can be promoted and developed in the same way. There is no innovation without diversity and there is no improvement without plurality.
This job be filled from Anywhere in Colombia
Are you ready?
Job Segment: Developer, Engineer, Computer Science, Java, Testing, Technology, Engineering, Big Data
Job Segment: Testing, Engineer, Java, Scientific, Database, Technology, Engineering | 2023-03-09 |
null | Data Scientist | Vectra AI | San Jose, CA | null | null | About the job
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra Platform captures packets and logs across network, public cloud, SaaS, and identity by applying patented security-led AI to surface and prioritize threats for rapid threat response. Vectra's threat detections are powered by a deep understanding of attacker methods and problem-optimized AI algorithms. Alerts uncover attacker methods in action and are correlated across customer environments to expose real attacks. Organizations around the world rely on Vectra to see and stop threats before a breach occurs. For more information, visit www.vectra.ai.
Position Overview
Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the Data Science team you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers.
Responsibilities
Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.
Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility.
Analyze detection algorithm performance and present key findings to business leaders.
Collaborate with Security Research, Data Engineering, and Software Engineering teammates.
Qualifications
MS/PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
Hands-on experience with machine-learning and statistical techniques
Strong experience with Python and object-oriented programming
Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.)
Familiarity with data structures and algorithms
Linux and Git proficiency
Desirable Skills
Familiarity with Spark, Flink, or other distributed computing systems
Experience with cloud computing platforms (AWS, Azure, GCP, etc.)
Database experience (SQL or NoSQL variants)
Experience working in a software development team
Programming experience in C++, Scala/Java, Go, or other languages
Vectra Total Rewards
Our competitive total rewards package includes cash compensation within the following range: Base Pay USD 156,800 - 212,200. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position.
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. | 2023-03-09 |
null | Lead Software Engineer, Data DevOps, NA | The Coca-Cola Company | Atlanta, GA | null | null | About the job
Lead Data Engineer
Job Description Summary
At Coca-Cola, we're looking for technologists who understand the fundamentals and principles of technology and who want to solve business problems on a global scale in a large, complex environment.
As a Lead Data Engineer, you will lead the design and engineering of our data products when it comes to data exploration, data transformation, data modeling, and data warehousing. You will be the technical subject matter expert to our data product stakeholders. This role includes developing well-designed, testable, efficient solutions by using best software development and data engineering practices. You should be analytical thinking, technically brilliant, curious, and have a proactive owner mindset. If you have a passion for data and data engineering, we’d like to meet you!
This role will report to the Senior Engineering Manager of Data and Analytics in the North America Digital Services organization.
What You’ll Do for Us
Design, develop, test, document, deploy, monitor, and support code.
Participate in a scrum team continuously delivering incremental high-quality code production
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Provide visibility over plans and status to multiple stakeholders (IT)
Diligently work side by side with Architects, Product Managers & Product Owners defining and supporting platforms and applications
Support, mentor, coach junior engineers
Qualification & Requirements
5+ years’ experience of creating elegant, efficient, and testable code & reports
Bachelor’s degree in Computer Science or related field or equivalent experience
Solid experience with at least one of these programing languages: Python, Scala
Solid experience with SQL.
Experience with Business Intelligence Data Visualization tools like PowerBI, Tableau, Microstrategy, etc.
Solid Knowledge with relational SQL databases and non-relational databases
Knowledge with Extract Transform and Load (ETL) tools and frameworks
Experience using CI/CD tools – GitHub, GoCD, Terraform and/or Azure DevOps
Solid knowledge about data modeling and architecture
Knowledge with developing applications using public cloud, preferably Azure
Preferred Qualifications & Experience
Understand agile scrum methodology and use agile life cycle management tools, such as Jira or Azure DevOps.
Understand CI/CD & DevOps best practices
Solid understanding of Git-based version control, GitHub preferred.
Experience with Apache Spark, Azure Synapse, Data Factory
Experience working geographically distributed multi-nationally teams with in-house and external developers
What We Can Do For You
Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
Agile Work Environment: We embrace agile with management that believes in removing barriers and empowering you to experiment, iterate and innovate.
Our Purpose And Growth Culture
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.
R-78213 | 2023-03-09 |
null | Data Scientist | HUMAN | United States | null | null | About the job
HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms.
Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon you’re training for. We want to see pictures of your pets. We want to know your favorite robot (we have many).
Even if you’re not a conventional “hacker” we can assure you that you are a hacker in your own right. We want to work with people like you who break down problems to build up better solutions. That’s what makes us HUMAN.
You’ll be joining us at an exciting moment in the HUMAN story: we joined forces with PerimeterX in a market-changing merger , as well as recently acquired clean.io to enhance the Human Defense Platform. Together under the HUMAN brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission.
The RevOps Data Scientist is responsible for designing, developing, and maintaining executive-facing reports and dashboards that drive business decisions. The Data Scientist will work directly with the Sales Team to translate business and technical requirements into user-facing reports and dashboards. Additionally, this role will be responsible for establishing dashboard adoption with users, including user testing, user training, and user troubleshooting.
The RevOps Team's primary focus is enabling Sales and Customer Success by managing commercial activities, tooling and systems on their behalf. In this role, you will work with cross-functional teams such as Sales, Post Sales and Product to analyze trends and provide business insight to key executive stakeholders. As a successful contributor, you will optimize reporting and create a smooth cross-functional reporting process to help HUMAN find and recognize revenue more quickly.
What you'll do:
Data engineering, integrating datasets from multiple sources, building reliable data sources to produce accurate insights to the business and one source of truth for the company
Maintain and improve existing reports that are deemed business critical while evaluating the technical trade-offs of new decisions to build things that are scalable and long lasting.
Analyze ad hoc data to provide insights to key cross functional teams including but not limited to: Sales, Finance, Accounting, and Marketing.
Contribute to maintaining accurate supporting documentation such as data dictionaries and data repositories.
Build effective and collaborative relationships with members of the RevOps team and all cross functional leaders and teams to ensure proper requirement gathering and stakeholder approval.
Drive change management efforts as new or improved reporting is rolled out across the business.
Training to enable internal users to get the most out of our dashboards and reports.
Troubleshoot, test, and maintain the platform and configurations to ensure strong optimization and functionality.
Communicate latest trends and insights as found for early predictive business indicators
Design, develop, maintain dashboards used by Sales and other department leads that drive business decisions.
Who you are:
Bachelor's degree in Finance, Math, Statistics, Computer Sciences, Economics, or related field
5-10 years experience in a financial analyst, business intelligence, or data analyst role
Advanced in all Microsoft Office software - specifically PowerBI and Excel
Experience with data reporting from CRM Systems (Salesforce preferred)
Strong analytical skills and highly detail oriented
Ability to translate sales strategy into measurable components for tracking and reporting
Ability to translate technical details into end-user language
Powerful desire to understand how the insights impact the business
Demonstrated ability to be analytically proactive and solution oriented
Proven track record thriving in a performance metric centric role
Demonstrated ability to manage multiple projects and drive projects with minimal supervision
Experience with Domo, Tableau or any other analytics visualization tools is preferred
Knowledge of data mining techniques using SQL
Life at HUMAN:
HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together!
With Humans located in all parts of the world, we’ve fully embraced our diversity of thought and are always looking for innovative ways to connect with one another - even in virtual reality! Although New York City is our HQ, with teams in London, Virginia, and Victoria, we trust our Humans in choosing where they work and how they work. The benefits package we provide reflects our flex-first culture and our commitment to our Humans’ personal career development, which includes annual stipends for home office setup, wellbeing, and learning & development. We also offer flexible time off, no-meeting Fridays, R2D2 days, sabbatical programs, and so much more.
We’re constantly trying to anticipate the needs of our Humans to ensure each one of us is equally prepared to do some of the best work of our life. Taking care of one another is part of the HUMAN experience and how we build true HUMAN connections.
If you are an individual with a disability or special need that requires accommodation, please contact us directly. | 2023-03-09 |
null | Data Scientist | Joulé | Seattle, WA | null | null | About the job
Title of Position: Data Scientist
Location: Seattle WA 98109
Contract Length: 1 yr
Tenure: can extend up to 2 years for all categories except for R&D – they can extend up to 4 years (all can return after 12 mo break)
Pay Rate Range: $70.00/hr. to $83.26/hr. W2 (**commensurate with experience and education)
Client-specific Requirements
No C2C, W2’s only
Candidate must be eligible to work for any employer in the US without the need of sponsorship
Job Description:
At COMPANY, we are inspired by a single vision - transforming patients lives through science. In oncology, hematology, immunology and cardiovascular disease, each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer.
We are seeking to add a Consultant Data Scientist to our team to enable our translational data to realize its full potential in service to our patients. Join us and make a difference.
About The Team
We are a team of data scientists invested in the principle that excellence in research starts with excellence in data and computational practices. Combining computational expertise, engineering experience, and data communication skills, we seek to develop data workflows and applications that empower our industry-leading research and early development (R&ED) programs. To this end, we partner with data managers, translational scientists, bioinformaticians and clinicians to link scientific questions to solutions that remove computational, logistical, and technological barriers to data utilization in research.
Key Responsibilities
In partnership with computational researchers, identify and implement technologies to optimize and automate data science workflows from data development to analyses and reporting
In partnership with translational researchers, accelerate time to insight by developing production-grade applications that enable efficient navigation through large volumes of continuously flowing data
Define and implement data processing algorithms to automate data monitoring
Collaborate with data managers and engineers to specify data models and data API endpoints to enable development of applications that facilitate non-programmatic interaction with our translational data
Job Requirements
BS degree with 5+ years of experience, a M.Sc. degree with 3+ years of experience or a PhD in Computational Biology, Genome Science, Bioinformatics, or similar fields with 1+ years of experience
Driven to deliver solutions that impact patients lives
Experienced in interdisciplinary collaborations at the interface of data science and life sciences
Capable of aligning day-to-day tasks with teams broader priorities and goals
Ability to communicate clearly with both technical and non-technical collaborators
Proficient in good coding practices
Strong command of data science stack of tools: R/Python, notebooks and git
Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework
Experience working with omics data
Qualification And Experience
BS degree with 5+ years of experience, a M.Sc. degree with 3+ years of experience or a PhD in Computational Biology, Genome Science, Bioinformatics, or similar fields with 1+ years of experience
Driven to deliver solutions that impact patients lives
Experienced in interdisciplinary collaborations at the interface of data science and life sciences
Capable of aligning day-to-day tasks with teams broader priorities and goals
Ability to communicate clearly with both technical and non-technical collaborators
Proficient in good coding practices
Strong command of data science stack of tools: R/Python, notebooks and git
Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework
Experience working with omics data
Preferred Qualifications
Experienced in R package development
Experience with APIs, or ability to quickly learn how to use them (e.g. R httr or Python requests)
Experienced in data visualization and analytics
Experienced in setting up data workflows that interface with diverse ecosystem of data platforms and APIs
Computing proficiency: Base knowledge of Linux OS and interaction with cloud-resources particularly AWS
Experience with practicing Agile
Experience with clinical data practices and standards
Experience with workflow automation, CI/CD framework
Experience with SQL | 2023-03-09 |
null | NGSE Data Scientist | Zoetis | United States | null | null | About the job
Candidates can be based anywhere in the US.
Role Description
POSITION SUMMARY:
The role will directly enable the development of an advanced-analytics enabled enhancement of the go-to-market sales strategy. The candidate will produce insightful analytic data models to capture and explain performance trends of the Zoetis Sales Force, while driving optimization opportunities and proactive direction for the Sales Organization. The candidate will interface across the organization to answer challenging analytical questions and highlight customer-related insights, such as revenue generation ideas and strategies to detect and prevent potential customer defection. The candidate will also produce creative solutions to complex business problems using advanced analytical techniques, while leveraging both internal and external data sources. The role will involve frequent interaction with key stakeholders across the sales and marketing organizations and provide the candidate with an exceptionally broad view of every aspect of Zoetis' business, while serving as critical support for the US Petcare division.
To be successful, the ideal candidate will demonstrate a thirst for knowledge and natural curiosity to enable rapid learning of the Zoetis business model and data infrastructure at a scale to support a growing $2b region. The position involves working with structured and unstructured real-world data, requiring a candidate who is comfortable thinking independently about solving business problems. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision, and must be comfortable in an environment of changing priorities. Candidates should have a strong business acumen, with evidence of delivered business value, preferably in a commercial setting
POSITION RESPONSIBILITIES:
Build predictive models to inform advanced insights, account prioritization, next-best-action, campaign optimization, and commercial test-and-learn for NGSE
Perform predictive analytics to identify core opportunities to drive business value, utilizing machine learning techniques such as logistic regression, random forests, collaborative filtering, sentiment analysis and topic modeling
Generate buy-in and engagement by effectively communicating results through presentations and visualizations
EDUCATION AND EXPERIENCE:
Masters from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, or related field
Minimum of two years of professional experience working as a Data Scientist
TECHNICAL SKILLS REQUIREMENTS:
Demonstrated experience building deployed prediction models to create business value, preferably in sales and marketing applications
Strong analytical mind and business acumen; ability to translate mathematical models and results into business concepts
Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to a non-technical audience
Experience in building predictive models in R or Python (Pandas/PySpark)
Experience in large-scale/distributed computing and analytics (Hadoop, Spark)
Strong statistics acumen including design of experiments
Knowledge of SQL
Experience with source control and collaboration tools (e.g. Git)
Experience working in a cloud environment (Azure, AWS, Google Cloud)
Experience in data engineering a plus
Tableau / data visualization experience a plus
Software development / engineering experience a plus
Experience in scaled model testing, integration, and deployment (DevOps) a plus
Experience working in Microsoft tech stack including SQL Server and Azure preferred
PHYSICAL POSITION REQUIREMENTS:
Fluency in English required | 2023-03-09 |
null | Senior Data Scientist | Valor Equity Partners | Chicago, IL | null | null | About the job
Who We Are:
Valor Equity Partners is an operational growth investment firm focused on non-control and control investments in high growth companies across various stages of development. For decades, we have served our companies with unique expertise to solve the challenges of growth and scale. We partner with leading companies and entrepreneurs who are committed to the highest standards of excellence and the courage to transform their industries. Our values are core to all we do. Those values are excellence, humility, integrity, and responsibility.
Valor Equity Partners is a different kind of private equity firm. We invest in technology and technology-enabled companies that innovate and disrupt existing industries — from biosciences to transportation to food to health and wellness. We’ve had the honor of serving some of the world’s greatest entrepreneurs and companies. Today, we work side-by-side with great companies solving the world’s biggest problems, companies like SpaceX, Anduril, HackerOne, Cloud9, and others.
About the Team:
Valor Labs is an internal facing software product team committed to gathering data and identifying signals to support the investment process. As a member of the Valor Labs team you’ll contribute towards a well-built internal software application for generating investment insights. As a team, our mission is to build tools that augment our investment teams’ ability to make great decisions.
About the Role:
You will build and maintain machine learning models used throughout the investment process.
You will leverage various datasets to deliver internal insights and feed machine learning models.
You will learn from a wide variety of engineers who are passionate about building great software.
You will have autonomy to help shape the future of software engineering at Valor by bringing your ideas on improving and automating what we do and how we do it.
We’re excited about candidates that have…
4+ years of experience, including contributions and business impacts that you can speak to
Experience exploring and applying analytical methods to complex datasets
Exceptional Python coding skills
Ability to work autonomously and take ownership of project direction
Deep knowledge of the following: common PyData packages (Pandas, Scikit-Learn, Matplotlib, etc.) and traditional ML models (especially boosted tree algorithms like XGBoost and LightGBM)
Additionally, experience with any of the following is a bonus: quantitative finance, time-series modeling. cloud platforms (AWS, Azure, or GCP), building ETL pipelines, leveraging NLP to extract features from text data and deep Learning frameworks (Tensorflow or Pytorch)
Our Tech Stack:
Frontend: React
Backend: Python, Fast API, Postgres, BigQuery
Tooling: Google Cloud Platform, Github
Data Processing: Apache Spark, Apache Kafka
You’ll love working at Valor because…
Our culture, values and team
We are a small team within an elite organization committed to success
You’ll be part of shaping the direction of a brand-new data product
Free lunch, great snacks and other employee perks
Excellent healthcare and dental coverage, currently covered 100% by Valor | 2023-03-09 |
null | Senior Data Scientist (ML / AI) - RCCB | Reyes Coca-Cola Bottling | Niles, IL | null | null | About the job
59047
Position Summary
The Senior Data Scientist designs and implements robust and highly complex statistical techniques for solving problems, sharing insights and providing actionable recommendations to the business. This position utilizes highly complex statistical modeling to make predictions about future outcomes in multiple scenarios. The Senior Data Scientist explains findings to the business.
Position Responsibilities May Include, But Not Limited To
Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis to solve complex business problems
Identify opportunities to derive value through advanced analytics, develop and implement machine learning models, and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions
Apply advanced conceptual understanding of Big Data systems to analytic model development
Lead discussions with business and technical teams to translate business problems into precise data science questions
Identify most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance
Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
Develop materials to explain project findings
Anticipate and prevent problems and roadblocks before they occur
Interact with internal and external peers and managers to exchange complex information related to areas of specialization
Mentor less experienced members of the team
Provide guidance regarding analytical approach and iteration of algorithms
Other projects or duties as assigned.
Required Skills And Experience
Bachelor's degree in Data Science, Applied Mathematics, Computer science, Statistics, Business Analytics or a field closely related to Data Science specialization and 5 plus years of experience in quantitative or computational functions or HS Diploma, 8 plus years of experience in quantitative or computational functions and 2 plus years of people leadership experience.
Advanced knowledge of SQL
Advanced knowledge of open-source data science and statistics packages such as Python, R, Spark, etc.
Experience interrogating data, performing analyses, interpreting data, and presenting findings to business audiences.
Experience in building ML models and Data Pipelines at scale
Work experience in AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning
Experience with machine learning/AI via frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.
Experience with Snowflake, Databricks, Azure ML Cloud Services
This position must pass a post-offer background and drug test.
Preferred Skills and Experience:
Master's Degree in Data Science, Applied Mathematics, Computer science, Statistics, Business Analytics or a field closely related to Data Science specialization
Experience developing strong partnerships with data science and engineering teams
Experience communicating technical roadmaps to business leaders
Strong understanding of data structures, algorithms, and distributed computing, both for data and optimization
Experience in working with GeoSpatial Datasets like Esri, Safegraph, CARTO
Physical Demands And Work Environment
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Due to the nature of our business in regard to such things as delivery schedules, order inputs, selection, and Department of Transportation Hours of Service, overtime, attendance and punctuality are essential job functions. Should an individual in this classification not be able to adhere to this requirement due to a disability, they should contact their Human Resources department to see what, if any, reasonable accommodation may be made.
As an Equal Opportunity Employer, Reyes Holdings companies will recruit and select applicants for employment solely on the basis of their qualifications. Our Practices and Procedures, including those relating to wages, benefits, transfers, promotions, terminations and self-development opportunities, will be administered without regard to race, color, religion, sex, sexual orientation and gender identity, age, national origin, disability, or protected veteran status and all other classes protected by the Federal and State Government. Drug Free Employer. | 2023-03-09 |
null | Senior Data Scientist | Parallel Consulting | United States | null | null | About the job
Senior Data Scientist - Contract
I'm supporting the Managing Director of a boutique consulting firm that is looking for an experienced Senior Data Scientist to join the team.
Role
We are looking for an candidates with specific experience the development and validation of Data Science Models. You will be responsible for finding flaws in AI/ML/Deep Learning Models.
What we are looking for in candidates
B.S / M.S in ComSci, Applied Maths/Statistics, Econometrics or equivalent
Technical strengths in Python and/or R
Compensation
$90-100 per hour on a W2. Benefits will be covered by Parallel.
Location
Remote within the United States | 2023-03-09 |
null | Data Analyst, Python Programming - Work From Home - M | Dice | United States | null | null | About the job
Data Analyst, Python Programming - Work From Home
We are seeking a Data Analyst. This opportunity creates an exciting opportunity to be data-driven at multiple levels. You will work closely with senior leaders to measure and improve the companies approach to every interaction with clients and potential clients. The Data Analyst will be one of the team’s first dedicated hires. The Data Analyst position will therefore be dynamic; it will evolve as needs change and as the candidate shapes the role. This position is 100% Remote.
Data Analyst Responsibilities:
Evaluate large datasets for quality, accuracy, and perform advanced data analysis using applications or querying datasets to assess initial data quality.
Assist with extracting, transforming, and loading data to enable data analyses.
Build automations of routine and repeated tasks.
Perform analyses to drive insights and improve client experience across the client journey.
Use Python to develop tools for data cleaning, mining, analysis, and visualization.
Collaborate with teams to optimize reporting systems and tools and ensure that analytics and insights are embedded in decision-making.
Assist with developing dashboards for internal and external stakeholders.
Data Analyst Qualifications:
1-2 years of experience in Python Programming, Data Analysis, or Business Intelligence roles.
College Degree required.
Proficiency in Python, SQL, and Microsoft Power Query.
Mastery of Microsoft Excel.
Ideal candidates will have experience with Microsoft Power Bi and Salesforce.
Excellent verbal, written, and interpersonal communication skills.
Analytical, problem-solving, and decision-making skills.
Excellent time management skills with a proven ability to meet deadlines.
Ability to multi-task and to work independently or as part of a team.
Must be able to read, write, and speak fluent English.
Keywords: Washington DC Jobs, Data Analyst, Python Programming, Business Intelligence, SQL, Power Query, Excel, PowerBI, Salesforce, Data Analysis, Remote, Work From Home, Washington DC Recruiters, Information Technology Jobs, IT Jobs, Washington DC Recruiting
Looking to hire a Data Analyst in Washington, DC or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Data Analysts for jobs in Washington, DC and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! | 2023-03-09 |
null | Data Scientist - Pricing | Hertz | United States | null | null | About the job
Employer Description
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
US EEO STATEMENT
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company.
Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran
Job Description
Data Scientist – Pricing
Hertz is one of the largest global mobility organizations and is currently undergoing a significant digital transformation. Hertz holds the largest EV rental fleet and is combining its brand strength and global fleet management expertise with new technology and innovations to chart a dynamic, new course for travel, mobility and the auto industry. Hertz is committed to becoming an essential component of the modern mobility ecosystem which includes leading in electrification, shared mobility and a digital-first customer experience.
At Hertz, our data scientists are responsible for developing and maintaining best in class machine learning and predictive models to create business value and identify key strategic opportunities.
As a data scientist at Hertz you will have the opportunity to work on impactful strategic initiatives and use state of the art technologies to solve complex problems to enable and optimize our digital, connected fleet, pricing, and ridesharing products.
Your main objective is to leverage data science techniques and machine learning to drive operational efficiency and effectiveness by enabling proactive data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to leadership teams to inform strategy and highlight potential risks and opportunities that initiate the drive for change.
Key Responsibilities:
Use and follow best practices to develop statistical and machine learning techniques to build models to address and exceed the needs of our customers and business
Build and maintain descriptive, predictive, and prescriptive models to streamline existing processes and identify market opportunities for new products and services
Integrate and curate data from a wide range of internal and external sources to develop detailed analytics, reports, and datasets for predictive modelling.
Use data visualization tools to explain your results simply and succinctly to technical, non-technical, and senior audiences.
Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large, complex datasets
Required Skills and Experience
Minimum of 3 years hands-on experience in a data science role
Minimum 2 years experience with cloud-based Big Data, ML and Analytics technologies, preferably AWS
Strong capabilities in scripting languages such as Python
Strong capabilities in SQL with experience working with structured and unstructured data
Strong interpersonal and communication skills with agile/scrum experience
Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions
Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical information and concepts to multiple organization levels
Required Education
A bachelor's degree or higher in Computer Science, or other quantitative discipline such as statistics, mathematics, physics or engineering. | 2023-03-09 |
null | Master Data Scientist | HP | New Jersey, United States | null | null | About the job
Unique mastery and recognized authority on relevant subject matter knowledge including machine learning technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in HP’s most complex disciplines. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.
Responsibilities
Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
Defines and implements models to uncover patterns and predictions creating business value and innovation.
Manages and creates relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
Communicating business value and innovation potential through effective insights/visualizations.
Represents the business at data science events, forums, boards.
Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
Defines, communicates and drives data insights/innovation into the business.
Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
Provides guidance, training and mentoring to less experienced staff members.
Knowledge & Skills
Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
Demonstrated innovation in the domain
Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
Leads multiple projects requiring data engineering solutions development.
Drives design innovation.
Education & Experience
Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
Typically 10+ years’ experience including graduate or postgraduate research.
In accordance with applicable law, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID 19 (as defined by the CDC) as of your first day of employment.
HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.
So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.
From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive! | 2023-03-09 |
null | Senior Data Scientist | OneStudyTeam | United States | null | null | About the job
About Us
For over a decade, Reify Health has been paving the way to faster, predictable, and more accessible clinical trials. Through its business entities, OneStudyTeam and Care Access, the company provides best-in-class trial optimization software and transformative clinical trial infrastructure that delivers research directly to more healthcare providers, communities, and patients wherever they are. Through partnerships with top biopharma companies, thousands of research clinics worldwide, and leading healthcare & community organizations, Reify Health is helping bring new medicines to patients faster, one trial at a time.
As of September 2022, the team working on StudyTeam is now known as OneStudyTeam. Both new and familiar, this name reflects the mission shared by our technology and our people: to connect and enable every stakeholder in the clinical trial ecosystem to carry out the work of research better, sooner, and together. OneStudyTeam, like Care Access, will continue to operate as a business inside Reify Health but will now do so using the OneStudyTeam name and brand to represent the business overall. All StudyTeam products will continue to utilize the StudyTeam name and branding, and our users will continue to access our products in the same way. For more information about this transition, see press release here.
Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics division is looking for a talented Senior Data Scientist who can help us understand and predict patterns to help research sites and their sponsors plan and manage clinical trials more effectively. If you are empathetic, business-driven, and want to use your data science skills to make a tangible impact in the clinical research community then this may be the role for you.
As a Data Scientist at a fast-growing company, we're looking for people who can effectively balance rapid execution and delivery with innovative data exploration to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically and mathematically, know when to choose the right technique, for the right job, at the right level of complexity. You will work closely with our other Data, Product, Engineering, and Design groups to help turn targeted R&D around modeling patient, site, sponsor, and clinical logistics behaviors into solutions that can be used to practical benefit.
What You'll Be Working On
Expanding the capabilities of our predictive modeling suite and integrating it into compelling, commercializable, data-driven narratives for pharmaceutical sponsors
Develop recommendation systems which materially improve the operational efficiency, scalability, and effectiveness of our Customer Success and Sales teams as they support sites and sponsors
Performing hands-on R&D and discovery sessions with stakeholders to drive novel, high-ROI data science applications for sites, sponsors, or associated stakeholders
Becoming intimately familiar with HIPAA, GDPR, and other applicable regulatory and privacy frameworks and how they influence our analytical and model development decisions
Regularly communicating your efforts to the Director of Data Science, Head of Data, and other technical/non-technical stakeholders in clear written, verbal, or presentation form
Living our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and, more importantly, people), and being laser-focused on business needs
What You Bring To OneStudyTeam
At least 5 years of professional work experience in an applied data science role dealing with regulated health or clinical data (or a similar highly regulated dataset)
A willingness to deeply engage with stakeholders and understand business strategy to establish a “definition of value” before considering technical approaches
Deeply understands not only how to use a technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Expertise in several techniques such as (but not limited to): Bayesian statistics and modeling, linear/nonlinear regression, linear optimization, mixed integer programming, supervised/unsupervised learning, expert systems, network analysis, and neural networks
Familiarity (or ability to become familiar) with privacy-preserving or identity protecting techniques and ways to discern bias in models that may impact recommendations regarding diverse and underserved populations
Expertise in Python and SQL and deep familiarity with corresponding analytics, visualization, and data processing libraries
Understanding of the nuances of testing models and addressing scalability/accuracy of analytical processes in probabilistic systems
Advanced degree in computer science, data science, mathematics, statistics, or other related field
Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications
Benefits (US Full-Time Employees Only)
Competitive salary and stock options
Remote-first! Work from anywhere.
Flexible PTO & working hours
Up to 16 weeks 100% paid parental leave
100% paid health coverage for employees with option of HSA: Includes employer HSA contribution of $400 for individuals or $800 for families
Additional plans available at >70% premium coverage
100% employer-sponsored dental & vision plans for employees
Supplementary, low-premium benefits: Short-term/Long-term disability, voluntary life insurance, pet insurance(!), legal & identity protection
Free access for employees and dependents to health care advocacy team (Alight Health Pros), and 24/7 telemedicine access (Eden Health)
401(k) retirement plan with 4% employer match
Company-provided laptop
$1300 annual home office reimbursement
Team Fun: Regularly scheduled virtual events
Annual fitness and weight loss reimbursements: Up to $150 each per year
Learning and Development: Your very own LinkedIn Learning license so that you can upskill or just learn something new!
Access to Benefits Marketplace: A special discount hub for OST employees to access deals on things like electronics & home goods to wireless service or travel
Guardian’s College Tuition Benefit Program: Enroll any child dependents under the age of 17 for up to $4000 per year towards college tuition
We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.
Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OST works with a Professional Employer Organization.
As a condition of employment, you will abide by all organizational security and privacy policies.
For a detailed overview of Reify Health's privacy policy, please visit www.reifyhealth.com/privacy-policy. This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here). | 2023-03-09 |
null | Data Scientist | SLB | Sugar Land, TX | null | null | About the job
The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.
Essential Responsibilities and Duties:
Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
Apply theoretical knowledge to solve industrial problems.
Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
Collaborate with field and product engineers to identify key health monitoring parameters of a system.
Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
Communicate ideas, plans and results effectively via oral and written reports.
Basic Qualifications:
Bachelor's (or equivalent industrial experiences) / Master’s / PhD degree in science or engineering with software experience or education
Minimum 5 years of direct experience (BA Degree), or 3 years of direct experience (MA Degree) | 2023-03-09 |
null | Senior Data Scientist III | LexisNexis | United States | null | null | About the job
** Please note that we are open to hiring remotely within the United States, Canada or South Africa for this role **
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
Join us in shaping a more just world.
About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.
For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
Analyzing large datasets to identify patterns and trends that can inform AI development.
Communicating findings and insights to stakeholders in a clear and concise manner
Staying current with the latest AI and machine learning trends and technologies
Mentoring junior data scientists and provide guidance on AI and machine learning best practices
Acting as the primary driver of analytic project and results
Leading code reviews and acting as a final approver of models before reaching customers
Setting a high-bar for model development
Evaluating and creating new frameworks and defining methodologies and governance
Managing small- to medium-sized teams (direct or indirect)
Requirements:
PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
7+ years of experience in AI and machine learning
Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
Experience with reinforcement learning, prompt engineering, hallucination mitigation
Working understanding of the business risks associated with applying LLM in a business
Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
Strong coding skills in Python or another programming language
Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
Strong problem-solving skills and the ability to think outside the box
Have experience in leading complex projects and customer relationships
Have substantial experience in a data scientist role, with an aptitude to manage others
Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
Be a natural problem solver, able to take a lead in collaborating to resolve issues
Have excellent communication skills and the ability to convey information clearly to a wide audience
Work in a way that works for you:
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees
Working with Us:
LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.
Working for you:
We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Comprehensive, multi-carrier health plan benefits
- Disability insurance
- Dependent care and commuter spending accounts
- Life and accident insurance
- Retirement benefits (salary investment plan/employer stock purchase plan)
- Modern family benefits, including adoption and surrogacy
About our Team:
LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. | 2023-03-09 |
null | Senior Data Engineer | Pacific Life | United States | null | null | About the job
Job Description
Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating a superior customer experience. We’re actively seeking a talented Sr. Data Engineer to join our Data Analytics team in Newport Beach, CA. This role can be on-site, hybrid, or 100% remote.
As a Sr. Data Engineer, you’ll play a key role in Pacific Life’s growth and long-term success by building analytical pipelines that automate data flows and predictive or prescriptive algorithms. You will perform data analysis, partner with our business on the application of data sets to solve business problems, and optimize the access of this data to support these pipelines. You will join a team in the Retirement Solutions Division and your colleagues will include fellow Data Engineering professionals. [Insert anything else you want to point out about how the team works together].
How You Will Make An Impact
Discovery: Participates in the discovery and capture of data requirements from business stakeholders and technology partners, performs data analysis, and creates high level data designs for information solutions (15%)
Solutioning: Participates in the design, development, testing, and implementation of analytics solutions by translating business data and non-functional requirements into working code (25%)
Building: Analyzes, interprets, and visualizes data to help users meet complex reporting and analytical business needs for requests from senior business stakeholders or other technology areas (25%)
Thought Leader: Stays connected to cross industry data engineering thought leadership, synthesizes key concepts, and drives practical adoption within Pacific Life (10%)
The Experience You Will Bring
8+ years of experience as a Data Engineer, Data Analyst, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
Experience building/operating highly available, data pipelines, distributed systems of data extraction, ingestion, and processing of large data sets
Experience working with AWS tools and features
Experience with cloud databases like Snowflake
Experience with unstructured and streaming data
Demonstrated strength in data modeling, SQL development, and data warehousing
Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
What Will Make You Stand Out
Experience building in Snowflake, AWS, Matilion
Capable working across multiple initiatives at once
Confident interacting with different levels of business users
You belong at Pacific Life
At Pacific Life we are committed to a culture of belonging, a space where all employees are empowered to be authentic. One way we cultivate an inclusive culture is through our employee connection groups. The purpose of these employee-led groups is to offer a place to build community, connection, camaraderie, and a sense of belonging. Each group can be active in education, advocacy, recruitment, and community building throughout our organization. Learn more about our employee connection groups at www.pacificlife.com.
Want to learn more about life at Pacific Life? Take an inside look at our company culture: Instagram.com/lifeatpacificlife.
Base Pay Range
The base pay range noted provides a basis to determine the appropriate offer dependent upon several factors including but not limited to geographic location, experience, skills, education and pay equity. Also, most employees are eligible for additional incentive pay.
$125,400.00 - $156,700.00 - $211,600.00
Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation
EEO Statement
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company. | 2023-03-09 |
null | Data Scientist (Crypto Experienced) | Execuzen | New York City Metropolitan Area | null | null | About the job
Company Description
Client is a Global based Hedge Fund who is looking to build a world class systematic data platform to empower their crypto business.
The team is looking for Data Scientists & Analysts who are responsible for discovering, maintaining and analyzing sources of alpha. The successful candidate will combine strong technical skills, financial insights and statistical techniques to explore, analyze, and harness a large variety of structured and unstructured datasets, in order to build data-centric solutions which give teams an edge in their investment process.
Location:
New York, Miami etc.
Principal Responsibilities
Analyze, manage, and store vast amounts of datasets from market to alternative data vendors
Communicate and provide data insights to investment teams (portfolio managers and analysts)
Mine new alternative datasets to uncover signals and determine value
Write code to tag, clean, and normalize large unstructured and structured datasets
Back test datasets to assess their correlation to company KPIs
Communicate and provide data insights to investment teams (portfolio managers and analysts)
Work alongside the data sourcing team to identify new potential data products and vendors
Develop data analysis tooling and libraries alongside the rest of the data science team
Construct visualization dashboards to present key insights
Qualifications/Skills Required
BS, MS, or PhD degree in Statistics, Computer Science, Applied Mathematics, or related field.
At least 5+ years of working experience within financial data science
At least 3+ years of programming experience in Python
At least 1+ year of crypto MARKET data related experience
Excellent communicator
Highly proficient in writing advanced and optimized SQL queries
Hands on experience with ETL processes and API construction
Experience in company fundamental financial metrics (e.g. revenue, cash flow, margin, etc.) | 2023-03-09 |
null | Senior Data Scientist - Contractor | ClassDojo | San Francisco Bay Area | null | null | About the job
ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.
What you'll do:
Data is core to how ClassDojo makes informed choices. As a Data Science contractor, you’ll help build the world's largest consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestone: serving 100 million+ families, and 100 million+ in revenue, while deepening love for our brand.
The Data Science function at ClassDojo is an equal partner to product, engineering, and design. As a DS on a high-performing, cross-functional team, you'll shape the team's strategic direction. You'll tackle a broad range of product and business problems: uncovering unique user insights, identifying the right growth strategies in each of the 180+ countries we operate in, identifying and testing critical product improvements, and driving revenue results. You'll also work with co-workers across the company to develop insights that inform strategy across our entire business.
You can expect talented, motivated, intense and interesting co-workers; the work you'll do will pioneer the future of education.
Drive orders of magnitude of growth in ClassDojo's network and revenue growth
Design and evaluate product experiments and improvements, working with cross-functional teams to translate insights into action
Define product strategy and direction, in collaboration with cross-functional peers
Empower teams with the skills and tools to get their own insights
You will be a match if:
You have at least 4 years of data science experience
You can work 24-40 hours per week with us
You might be a good fit if:
You have 5+ years experience in a data science or similar role at a consumer company, ideally with a stint on a high-quality growth team or monetization team
You have good business judgment
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions
You possess strong written and verbal communication skills
You have a curious mind
You have an inclination to move surprisingly fast
Bonus:
Experience with data pipelines: transforming raw production and external data into user-friendly tables.
[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.
ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records. | 2023-03-09 |
null | Data Scientist | Gartner | Irving, TX | null | null | About the job
Title: Data Scientist – Digital Products & Innovation
About the role:
This is a unique opportunity to join our fast-growing Data Science team in the products organization and work with a group of data scientists, data engineers, and product managers to drive significant business impact. Your team focuses on leveraging data and analytics to innovatively bring better products to our clients. We leverage data science to improve our operations as an organization and to define and implement new business models and data-driven products. Your role specifically will be to apply data science with design thinking and lean product principles to define, design, and implement algorithms that are core to our business by setting the foundation for new products or processes.
What you will do:
Apply Natural Language Processing to improve our ability to extract scalable insights from search queries or client questions
Use machine learning to develop self-correcting algorithms to generate questions and answers from our world class content library
Using predictive modeling to develop forward-looking projections of client engagement and measure client risk
Using statistical analysis to measure the effectiveness of specific product campaigns
Leveraging design thinking, client input, and a “data science mindset” to identify, prioritize, and assess opportunities to leverage data science to deliver value to our clients
What you will need:
1-3 years hands-on experience building predictive models, recommendation systems, and/or NLP/text mining tools.
Familiar with the foundational approaches to the major data science disciplines, such as data preparation, advanced statistics, machine learning, simulation, and natural language processing
Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies
Bachelors in a quantitative research field (e.g., Computer Science, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science)
Who are we?
Gartner delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have nearly 16,000 associates globally that support our 14,000+ clients in more than 100 countries.
What makes Gartner a great place to work?
Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We believe that a variety of experiences makes us stronger—as individuals, as communities and as an organization. That’s why we're recognized worldwide as a great place to work year after year. We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner
What we offer:
Our people are our most valuable asset, so we invest in them from Day 1. When you join our team, you’ll have access to a vast array of benefits to help you live your life well. These resources are designed to support your physical, financial and emotional well-being. We encourage continued personal and professional growth through ongoing learning and development opportunities. Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:76244
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. | 2023-03-09 |
null | Senior Data Scientist | Shelf Engine | United States | null | null | About the job
At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting and fully automated ordering to food retailers across the United States. We’re able to drastically reduce the amount of food waste generated while simultaneously maximizing sales and expanding margins for grocers—a triple win for suppliers and retailers, consumers, and the environment.
Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop best-in-class machine learning and advanced statistical models to achieve business objectives. You’ll accomplish this by clarifying requirements, scoping projects, identifying appropriate algorithms from ideation to launch and iteration. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.
This position is based in Seattle, WA or remote.
As a Senior Data Scientist at Shelf Engine, you will:
Research, build, and launch machine learning and advanced statistical models to solve complex problems
Learn and share knowledge with the team to determine strategies, solutions, and initiatives
Provide technical mentorship and expand training to improve data science best practices
Design, analyze, and interpret the results of experiments
Work closely with Engineering, Operations, and Customer teams to identify problem areas and develop robust, scalable solutions
Embrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers
What we are looking for in a candidate:
You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic
3-5+ years industry experience with some combination of:
Experience putting models into production or with a live online system
Experience working with big data and standard tooling (e.g. Python, SQL, Spark)
Experience with performance monitoring and automated alerting
Experience with production ML tooling (e.g. Airflow, Databricks, Azure, AWS, or GCP)
You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflow.
You have experience in advanced machine learning, statistics, experimentation, and optimization.
Nice to have: experience building supply chain or inventory management solutions
You have a Masters/PhD degree in a STEM field.
You are authorized to work in the U.S. for any employer.
What Shelf Engine offers you:
A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environment
An inclusive work environment that emphasizes each team member’s personal and professional growth
Competitive salary in the range of $140,000 to $165,000 depending on skills and experience
Pre-IPO equity with a four-year vesting schedule
PTO that is unlimited and self-managed for full-time employees
100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependents
Coverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance Program
Optional employee contribution of pre-tax dollars to medical and dependent care FSA accounts
401k plan through Guideline to contribute to your financial future
Seattle only: Company-paid ORCA transit card
About Us:
At Shelf Engine, you will join a team of driven, passionate, and caring people hungry to make change in an untapped industry. We’re not only solving complex technical problems at scale but also tackling key initiatives with significant environmental impacts. Our team is determined to disrupt a massive industry and leave behind a positive legacy for generations to come.
Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. | 2023-03-09 |
null | Data Scientist | KellyMitchell Group, Inc | United States | null | null | About the job
Job Summary: Our client is seeking an entry-level Data Scientist to join their remote team. This position functions more as an analyst role, with a focus on Stitching, geo-referencing and analyzing "UAV imagery" to derive insights and phenotypic metrics. In order to be successful in this role, UAV imagery experience is crucial.
The primary purpose of this job is to support Regulatory Science lab teams by extracting data from source templates and utilizing data pipelines to store the data sets and maximize the data value.
Duties:
Partner with business colleagues to define user requirement and data needs
Develop, configure and support data mapping tools for a custom
Build computer vision end to end pipeline from image data preprocessing, data ingestion, data filtering to imaging model development, deployment, and monitoring
Stitch, georeference and analyze UAV imagery to derive insights and phenotypic metrics
Communicate results with the key stakeholders and improve pipelines based on feedback
Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions UAV imagery
Develop sustainable, consumable, accurate, and impactful code for model building and deployment
Partner with a senior member of the data science team to turn data into critical information and knowledge that can be used to make sound organizational decisions
Desired Skills/Experience:
BS Degree + 5 years experience, OR MS Degree + 2 years experience or PhD (degree in Computer Science, Chemistry, Biology, Engineering, or related field)
Sufficient knowledge about creating database schemas and methods to store data in cloud/AWS SageMaker, model training and orchestration in AWS
Adept in defining APIs for user interface and model deployment
Good Understanding of image processing, color spaces, machine learning, deep learning, and Convolutional Neural Networks
Understanding of imaging sensors and technology, and photogrammetry is a plus
Remote sensing and geospatial imagery analysis experience specifically UAVs, knowledge of any one tool like QGIS, ENVI, ArcGIS etc.
Experience using any of the image stitching tools like ODM, Agisoft etc.
Good understanding of any one of deep learning framework Pytorch, Tensorflow or MXNET and ability to build models from scratch
Knowledge of transfer learning and making ML models work with limited data
Good Understanding of machine learning pipeline in production (MLOPs)
Very good knowledge of Python
Version Control (Git)
Relational databases: structure, data types, querying
Excel expertise: formulas, pivot tables, data validation
Strong communication skills - written, verbal and online tools
Strong documentation skills - requirements and product guides
Experience testing and diagnosing / fixing issues
Experience meeting timelines
Experience with GxP environment
Experience with DevOps processes
Working knowledge of computer language: Python, Java, R, Unix shell, etc.
Experience with project management tools: Jira, etc.
Fundamental knowledge of databases
COVID-19 Vaccination
Benefits:
Medical, Dental, & Vision Insurance Plans
401K offered
KMID: 124269 | 2023-03-09 |
null | Staff Data Scientist - Offboard Planning, Self-Driving | Rivian | Palo Alto, CA | null | null | About the job
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary
You will be part of a team of developers, data scientists, and deep learning experts using data from the Rivian fleet to build predictive systems that understand and measure the performance of our autonomy system. Operating autonomy at scale has unique challenges, requiring data-driven decision making and large-scale realistic simulation to accelerate the pace at which our Autonomy system improves over time. We use Machine Learning with millions of miles of driving data to power these workflows and are looking for a Data Science engineer who will lead data mining, visualization, and analysis across a variety of projects. Most importantly, your work will have a critical impact on the daily experience and safety of our customers which is critical to the mission at Rivian.
If you enjoy Machine Learning, Data Mining, experimentation and metrics design then come join us!
Responsibilities
Lead the team in the design and development of data mining for experimentation workflows that enables accelerating development of planning and prediction algorithms for autonomous driving.
Use data analysis to measure the performance and safety of the autonomy system.
Work with millions of miles of driving data stored in the cloud to help drive data-driven decision-making processes
Develop datasets and pipelines for ML models for realistic simulation including smart actors for interactive simulation and scenario generation.
Qualifications
M.S. or Ph.D. in Machine Learning or a related field
5+ years of experience working on production ML systems.
Expert level knowledge and experience Pythonand PyTorch or TensorFlow
Solid understanding of state-of-the-art models and approaches or perception, prediction, or planning in the self-driving space.
Capable of working in a fast-paced development environment
Good team player with great communication skills that can build team consensus.
Passionately motivated to take ideas from development validation to a verified product
Self-motivated: Demonstrated ability to set direction and guide the team towards it
Hands-on approach: Proactively identifies and fills in gaps where needed.
Preferred Qualifications
Good understanding of linear algebra, geometry, algorithms, and data structures
Experience with Automotive Self-Driving or similarly complex Robotics Systems.
Experience with appropriate verification and validation efforts at different test levels (unit testing/SIL/HIL/Vehicle)
Salary Range for California Based Applicants: [$205,000.00 - $236,000.00] (actual compensation will be determined based on experience, location, and other factors permitted by law).
Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.
Equal Opportunity
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
Candidate Data Privacy
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
Please note that we are currently not accepting applications from third party application services. | 2023-03-09 |
null | Data Scientist | Exponent | Los Angeles, CA | null | null | About the job
We offer opportunities for you to expand your engineering or scientific knowledge amidst experts with degrees from top programs at over 500 universities. At Exponent, you will apply your experience, technical skills, and prior academic research to a fulfilling career in consulting. You will have the opportunity to develop continuously through formal and informal development programs, coaching and mentoring, and involvement in a wide array of projects. We are excited about your interest in joining our growing team!
Key statistics:
1100+ Team members
900+ Consultants
550+ Ph.D.s
30+ Offices globally
We are currently seeking a Data Scientist for our Practice in Los Angeles, CA. I n this role, your primary work will revolve around helping Exponent’s team rapidly implement and iterate algorithms, analyses, and visualizations to support clients in the consumer electronics, utilities, and life sciences.
You will be responsible for:
Supporting a range of consulting activities related to large-scale network problems involving civil infrastructure, including model development, data analysis, and visualization
Developing cloud-based storage and computation solutions including client-facing visualizations of key decision metrics
Actively solving technical and logistical problems in a fast-paced environment
Working with interdisciplinary teams comprised of consultants from Data Sciences, Buildings & Structures, Mechanical Engineering, Human Factors, etc.
You will have the following skills and qualifications:
Ph.D. in Statistics, Computer Science, Computer Engineering, or a related engineering/scientific field (such as Applied Mathematics, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or Applied Physics)
Demonstrated experience and expertise in one or more of the following areas:
Machine learning
Spatial analysis
Operations optimization
Data engineering
Data science
Data analysis and visualization
The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
Proficiency with 2 or more of the following: Python, R, C++, SQL, and Linux (RH 7+)
Experience with 1 or more of the following: AWS, Azure, Google Cloud, and web services
Experience building dashboards with at least 1 of the following is preferred: Tableau or Power BI
Experience developing software for a range of platforms (PCs, mobile, embedded devices, etc.) is preferred
Strong practical engineering ability combined with leadership and project management skills
Prior experience with civil infrastructure (such as electric, gas, or water utilities) is preferred
Excellent verbal and written communication skills
Ability to work independently and in multidisciplinary teams
Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].
To learn more about life at Exponent and our impact, please visit the following links:
We value and encourage diversity, equity and inclusion across all facets of our firm. Having a team built of people with different backgrounds, skills and perspectives allows us to provide better value to our clients and enjoy an enriched work environment.
Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.
Compensation
Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level total compensation includes base salary, bi-weekly bonuses for high intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.
The base salary range for this position is $110,000 - $140,000depending on experience and capabilities which will be assessed during the interview process.
Benefits
Access benefits information at this
Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.
If you need assistance or accommodation due to a disability, you may email us at | 2023-03-09 |
null | Data Scientist | Cadent | Philadelphia, PA | null | null | About the job
Job Description
Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns.
Right now, we are looking for a highly motivated Sr. Data Scientist who will be responsible for applying data science or AI to identify business insight and optimization strategies from big data, and research & design, build, evaluate and optimize product solutions including but not limited to data wrangling and engineering, statistical analysis, machine learning, graph science, signal processing, NLP and optimization methods.
Data Scientists collaborate directly with Product development, Business Intelligence, Data Engineering and Development team members to productize research as reporting, smart content, and applications. This is a critical mathematical engineering role whose work is leveraged by other engineers and by senior executives to define the future of Cadent.
Our ideal player will:
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting and optimization
Work with Software development team to deploy models as micro-services leveraged inside of business software products
Monitor, maintain, and refine predictive models as necessary, including re-training
Work with product team to align software goals with KPI’s via empirical measure of effectiveness
Participate in the agile / scrum process
Follow the CRISP-DM process to generate robust documentation associated with iterative work
Present results to technical and business stakeholders.
Our ideal player will have:
M.S. or higher in computer science, mathematics or related discipline with a focus on machine learning or the equivalent of 3 to 5 years of experience in machine learning, forecasting and
Practical experience in building evaluating and deploying machine learning pipelines as with python, preferably within AWS or GCP ecosystem
Strong programming skills in Python, fluency in data manipulation (SQL, Spark, Pandas), machine learning (e.g. scikit-learn, Keras/Tensorflow, pymc3) and optimization (e.g. linear programming) tools
Experience with accessing and organizing data drawn from relational and non-relational data stores.
Experience in cloud computing ecosystems (preferably in AWS and GCP)
Practical experience in deep learning architectures and frameworks
Proven background answering open ended research questions using data
Experience with computational statistics and understanding of theoretical fundamentals of statistics and mathematical workings of machine learning algorithms.
Strong analytical and quantitative problem-solving ability.
Demonstrated communication skills including the ability switch between technical and business contexts.
Preferably a background in software development
Extra Credit if you have:
Media or Advertising Experience
Experience working with DSP or Identity Graph
If the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!
Cadent is an Equal Opportunity Employer and is committed to supporting all it’s employees when it comes to Inclusion & Diversity. Cadent’s policy is to provide equal opportunity for applicants & employees without regard to race, color, religion, creed, gender, gender identity or expression, sexual identity or orientation, age, national origin or ancestry, citizenship, disability or medical condition (including pregnancy, childbirth, or related medical condition), sexual and reproductive health decisions, genetic information, marital status (including domestic partnerships and civil unions), pregnancy, culture ancestry, familial or caregiver status, military status, veteran status, socioeconomic status, unemployment status, status as a victim of domestic violence or any other basis prohibited by law. and will not discriminate against the basis of disability. This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions, compensations, benefits, transfers and terminations.
Cadent is seeking to actively engage with our employees from a wide variety of cultures and to connect with our clients differently. Our workforce has generational diversity that supports greater innovation when we maximize representation of all diversity. Our active employee resource groups promote engagement across all groups of individuals that are represented within the company and externally | 2023-03-09 |
null | Data Scientist | Integra Connect | United States | null | null | About the job
About Integra Connect:
We are a value-based, precision medicine company specializing in solutions for providers, patients, life science and EMS companies. With the emergence of value-based care, Integra Connect’s mission is to help specialty care providers succeed both clinically and financially. We accomplish this through a comprehensive offering of technology and services, unified by our cloud-based platform, combined with unmatched industry expertise. We are looking for like-minded individuals committed to making a difference in healthcare. Come join our growing team!
Job Description:
The Data Scientist will be a key member on the Data Science and AI team within the precision oncology organization. The Data Science and AI team is responsible for developing innovative analytical solutions and products that benefit the entire enterprise. The team generates insights for providers, payers, pharma, and biotech by leveraging the available health care data from electronic medical records, healthcare claims, pharmacy claims and genomics data for oncology, urology, and other patients via the Integra precision oncology platform. Utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large data sets, the Data Scientist will extract meaningful information from all patient data from our rapid growing network of healthcare practices. The solutions created by the Data Scientist will positively impact patient outcomes, while reducing cost of healthcare.
Come join one of the hottest companies that is revolutionizing healthcare!
Responsibilities:
The Data Scientist will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive beneficial solutions to patients, providers, pharma, and payers.
Apply predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes. Mine for insights and analyze available healthcare data via the precision oncology platform to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness of data sources and develop custom algorithms that address specific business needs. Collaborate closely with the precision oncology platform and database teams to transform curated healthcare claims (part B, Part D, CMS, and payer); electronic health record, pharmacy dispensing, patient-reported outcomes, primary market research and other source data types into high value information/knowledge to satisfy required project output for multiple Integra business units.
Coordinate with different functional teams to implement predictive models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy.
Collaboratively support all analytical services offered by the precision oncology platform developed to enhance and enrich the personalized medicine solutions for oncology patients cared for at specialized practices and providers that partner with Integra.
Attend key (scientific/medical) conferences; identify emerging trends; contribute to high quality peer reviewed journal publications and collaboratively support the expansion of analytical efforts of the enterprise in the US and global markets. Modest travel might be required to attend conferences (up to 10%).
Qualifications:
Bachelor’s degree in a field related to computational discipline (e.g., computer science, data science, AI, biomedical informatics, statistics, applied mathematics or biomedical engineering) or other demonstrable scientific/analytical expertise.
A strong background in computer science, statistical programming, in-depth understanding of informatics as well as the design, development and execution of AI based technologies for various research and clinical informatics focused project needs. Understanding of statistics, health analytics (e.g., Kaplan-Meier for outcomes-based analysis such as PFS, OS).
Proven experience in statistical programming (e.g., R or SAS), data mining and/or advanced programming experience in python along with querying relational databases using SLQ to analyze data and draw insights from large data sets.
Expertise in applying machine learning techniques and deep learning techniques. Experience with advanced statistical techniques and mathematical concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and with applications to healthcare will be preferable. Experience visualizing and presenting data insights to stakeholders using PoweBI, Tableau, D3, ggplot, etc.
Oncology expertise from a scientific, medical, or pharmaceutical background with basic understanding of the mechanism of oncology, basic analytics (e.g., survival analysis) and common therapies (chemo, IO etc.). This role would involve both engagement with data assets and domain experts.
Proven experience in medical/scientific writing experience, including conference abstracts. Authorship or co-authorship on peer reviewed papers.
Preferred qualities: Strong problem-solving skills with an emphasis on product development, pro-active, collaborative, creative, energetic, positive, tinkerer, curious, open minded.
Benefits:
Integra Connect, LLC provides a comprehensive benefits plan.
Medical/Dental/Vision Insurance beginning the 1st of the month following your date of hire
Paid Time Off
401k with employer match
Paid Holidays and Floating Holiday
Equal Opportunity Employer | 2023-03-09 |
null | Data Scientist | Stellantis | Michigan, United States | null | null | About the job
Your Mission,
The Global Analytics & Data Products Team is looking for a Data Scientist. As a key member of the Data Science Team, your mission is to put science into decision making.
Responsibilities
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities
Partner with cross-functional teams to prioritize domain use cases for customer engagement and monetization
Develop novel research to deduce and draw conclusions from behavioral data to directly influence development
Design, analyze and graduate experiments within your domain assignments
Provide technical leadership to data scientists with a wide range of backgrounds through code reviews
Democratize and socialize learning by centralizing learning in a internal repository and external blog
Understand stakeholder needs and educate partners on the formulation of research questions and methodologies
Evangelize our data science practice within the company to increase research utilization and recruit new talent
Top Performers will be able to demonstrate
Successful influencing of non-technical peers and leadership to deliver substantive change
Measurable consumer engagement impact through analysis, statistical models or products built
Measurable revenue impact through analysis, statistical models or products built
Measurable consumer experience impact through analysis, statistical models or products built
Qualitative and quantitative deductions from experimentation that lead to product optimization
Your Platform,
A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world.
Our World
Great mobility solutions start with great people! This is an exciting time to join us!
Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.
In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving, and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate, and our people live and work.
EOE/Disability/Veteran
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field
1 year or more of experience in advanced analytics / data science
Strong technical skills with SQL, R, Python for data analysis and experience in ML driven products
Experience with distributed analytical processing technologies - Spark, Hive, Presto
Experience in deriving narrative from data and communicate the results effectively
Experience in AB testing and causal inference methodologies
Demonstrated programming skills in software development settings a plus
Preferred Qualifications
Be active in the industry, recognized for the application of science within your industry
Exemplifies multidimensional skill sets -- data science, experimentation, analysis, engineering, etc
Experience with predictive and prescriptive modeling machine learning, a plus
Annual | 2023-03-09 |
null | Data Scientist | Five Below | Philadelphia, PA | null | null | About the job
Job Responsibilities:
Answer complex business problems, optimize processes, or enhance automation.
Develop innovative statistical techniques to enable improved forecasting, summarization, classification, and optimization.
Create compelling analyses and visualizations to improve business decisions and processes.
Enhance cross functional analytical capabilities in focus areas such as customer analytics (e.g. segmentation, personalization, targeting), digital (e.g. site analytics, recommendation, omnichannel integration), inventory management (e.g. demand forecasting, allocation, optimization), and supply chain strategy (e.g. network optimization, order management, visibility).
Partner with the technology organization to enhance data management and develop analytical capabilities.
Support adoption of analytical approaches by partnering with key business functions.
Special projects as required.
Qualifications:
Master’s Degree required (Ph.D. preferred) in relevant technical field (e.g. Computer Science, Engineering, Mathematics, Physical Sciences, or Economics).
Enthusiasm for answering complex business questions and developing practical solutions.
Extensive experience with large data sets, statistical analyses, and visualization as well as related tools (e.g. SQL, Python, SAS, R, Matlab, Tableau, Power BI).
Ability to convey complex analyses clearly in order to improve decisions and enhance processes.
The pay range for this position is $111,000 to $153,000 annually. Pay may vary based on a number of factors, including but not limited to a candidate’s job-related knowledge, skills, and experience; educational background; and geographic location. Dependent on the position offered, benefits, bonus and incentive payments, and other forms of compensation may be provided as part of a total compensation package.
At Five Below our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibilities, priced so low, you can always say yes to the newest, coolest stuff! Just ask any of our over 17,000 associates who work at Five Below and they’ll tell you there’s no other place like it. It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in.
It’s all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOWplace!
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Five Below is an Equal Opportunity Employer | 2023-03-09 |
null | Quantitative Research Analyst | Tandym Group | New York, NY | null | null | About the job
About The Opportunity
A growing hedge fund located in New York City is actively seeking a dedicated and diligent professional for a promising opportunity on their staff as their new Quantitative Research Analyst. In this role, the Quantitative Research Analyst will perform analyses and build libraries and infrastructure. Apply today!
Company Description
Hedge Fund
Job Description
The Quantitative Research Analyst will be responsible for:
Signal P&L attribution and analysis
Capacity estimation
Building backtest reports
Computing correlation matrices of signals
Running one-off research studies
Building optimization tools
Required Skills
2-10 years of related experience
Proficiency with computer platforms and applications
Ability to multitask
Excellent communication skills
Strong attention to detail
Highly organized | 2023-03-09 |
null | Data Scientist | Thomson Reuters | McLean, VA | null | null | About the job
The physical employment location will be in McLean, VA for this role*
Are you passionate about the chance to bring your data quality improvement experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to manage, understand, and analyze in-house and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities? Then Thomson Reuters Special Services (TRSS) is looking for you!
What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings. Successful candidates will have the opportunity to contribute directly to the features and capabilities deployed in our applications. They will work with customers to assist in gathering requirements and contributing to Statements of Work (SOWs) for new sales or POCs, and executing design post sale while getting deeply involved into the delivery of the proposed solutions. The role will interface with the customer and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer.
As the Data Scientist, you will also contribute to a variety of areas including:
Working with interdisciplinary engineering and research teams on designing, building and deploying data analysis systems for large data sets.
Working closely with customers to apply data science to their mission specific content.
Creating algorithms to extract information from large data sets.
Establishment of scalable, efficient, automated processes for model development, model validation, model implementation, and large-scale data analysis.
Development of metrics and prototypes that can be used to drive business decisions.
Providing thought-leadership and dependable execution on diverse projects.
Identification of emergent trends and opportunities for future client growth and development.
Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods.
Identification of new applications of AI in the context of Thomson Reuters and TRSS content sets.
Exploring existing data for insights, and recommends additional sources of data for improvement.
About You:
You’re a good fit for the role of Data Scientist if you have:
A minimum of DHS-granted public trust suitability required, active DOD Secret or Top-Secret clearance preferred.
A Master's degree or PhD in a quantitative field (e.g., statistics, computer science, mathematics, physical/biological sciences, or GIS).
10 years of experience with data cleaning, analysis, programming, and reporting of results to internal or external stakeholders (education can substitute for some years of experience)
Programming skills in one or more major programming languages (Python/R/Java).
Are creative, intellectually curious, and willing to experiment and work in dynamic organizations and situations, sometimes with little oversight or well-defined requirements.
The ability to take ownership for defined areas of accountability, most critically the integrity of the technical and data design in terms of meeting customer needs, design delivery and supportability.
A good understanding of distributed computing concepts.
Experience facilitating and gathering input from subject matter experts.
Excellent understanding of ML, NLP, and statistical methodologies.
The ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation.
Strong planning, time management, and organizational skills.
A team player / self-starter mentality with the ability to work using own initiative.
Ability to obtain and maintain a U.S. national security clearance.
Additional Desired Skills:
Big Data analytics experience (preferred, but not required).
Previous experience with data modeling for graphs (preferred, but not required).
Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies (preferred, but not required).
What’s in it For You?
At Thomson Reuters Special Services, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:
Our Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
Wellbeing: Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
Learning & Development: Environment that encourages continuous learning and development
Social Impact: Six employee-driven Employee Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
Compensation: Competitive salary and bonus component with market-leading benefits
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
Protect yourself from fraudulent job postings click here to know more.
More information about Thomson Reuters can be found on thomsonreuters.com. | 2023-03-09 |
null | Senior Data Scientist | Visa | Washington, DC | null | null | About the job
Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Job Description
To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business.
Essential Functions
Provide technical leadership in a team that generates business insights based on big data, identify actionable recommendations, and communicate the findings to clients
Brainstorm innovative ways to use our unique data to answer business problems
Communicate with clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your complex analyses accessible to a broad audience
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes
Partner with a variety of Visa teams to provide comprehensive solutions
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders
Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques
Organize and manage multiple data science projects with diverse cross-functional stakeholders.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
4+ years’ experience in data-based decision-making or quantitative analysis
Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
Extracting and aggregating data from large data sets using SQL/Hive or Spark
Analyzing large data sets using programming languages such as Python, R,SQL and/or Spark
Generating and visualizing data-based insights in software such as Tableau
Communicating data-driven insights and conveying actionable recommendations
Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS
Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
Managing analytics/data science projects from scoping to delivery, and engaging with internal/external stakeholders.
Additional Information
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 126,000.00 to 163,800.00 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. | 2023-03-09 |
null | Principal, Data Scientist | Five Below | Philadelphia, PA | null | null | About the job
Job Description
Position Summary:
We are looking for an experienced and highly motivated Data Scientist to join our team. The successful candidate will be responsible for developing and implementing data-driven solutions to complex business problems. The ideal candidate should have a strong background in mathematics, statistics, and computer science, as well as experience in data mining, machine learning, and predictive analytics.
Job Responsibilities:
Provide analytical leadership to answer complex business problems, optimize processes, or enhance automation.
Assist in the prioritization of resources for analytical projects and ad hoc analyses to deliver exceptional results and meet business needs.
Develop innovative statistical techniques to enable improved forecasting, summarization, classification, and optimization.
Create compelling analyses and visualizations to improve business decisions and processes.
Enhance cross functional analytical capabilities in focus areas such as customer analytics (e.g. segmentation, personalization, targeting), digital (e.g. site analytics, recommendation, omnichannel integration), inventory management (e.g. demand forecasting, allocation, optimization), and supply chain strategy (e.g. network optimization, order management, visibility).
Partner with the technology organization to enhance data management and develop analytical capabilities.
Support adoption of analytical approaches by maintaining strong partnership with key business functions.
Special projects as required
Qualifications:
Master’s Degree required (Ph.D. preferred) in relevant technical field (e.g. Computer Science, Engineering, Mathematics, Physical Sciences, or Economics).
5+ years of previous data science experience, with a strong emphasis on answering complex business questions and developing practical solutions.
Extensive experience with large data sets, statistical analyses, and visualization as well as related tools (e.g. SQL, Python, SAS, R, Matlab, Tableau, Power BI, Spotfire).
Proven track record of leading teams to deliver measurable business impact.
Excellent communication skills to convey complex analyses clearly in order to improve decisions and enhance processes.
Experience partnering with technology and business stakeholders to deliver analytical capabilities.
Desire to both contribute to and provide leadership of analytical efforts.
At Five Below our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibilities, priced so low, you can always say yes to the newest, coolest stuff! Just ask any of our over 17,000 associates who work at Five Below and they’ll tell you there’s no other place like it. It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in.
It’s all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOWplace!
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Five Below is an Equal Opportunity Employer
The pay range for this position is $148,200 to $207,000. Pay may vary based on a number of factors, including but not limited to a candidate’s job-related knowledge, skills, and experience; educational background; and geographic location. Dependent on the position offered, benefits, bonus and incentive payments, and other forms of compensation may be provided as part of a total compensation package.
BE AWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious recruiter activity by persons that are posing as a Five Below recruiters. Please confirm that the person you are working with has an @fivebelow.com email address. Additionally, Five Below does NOT request financial information or payments from candidates at any point during the hiring process. If you suspect fraudulent activity, please visit Five Below’s Careers Site at www.fivebelow.com/info/careers to verify the posting. | 2023-03-09 |
null | Data Scientist, Genetics & Indications | Alltrna | Cambridge, MA | null | null | About the job
About Alltrna
Flagship Pioneering has conceived of and created companies such as Moderna Therapeutics (NASDAQ: MRNA), Editas Medicine (NASDAQ: EDIT), Omega Therapeutics (NASDAQ: OMGA), Seres Therapeutics (NASDAQ: MCRB), and Indigo Agriculture. Since its launch in 2000, Flagship has applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures. In 2021, Flagship Pioneering was ranked 12th globally on Fortune’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies.
Alltrna is the world’s first tRNA platform company to decipher tRNA biology and pioneer tRNA therapeutics to treat thousands of diseases. Alltrna unlocks tRNA biology to correct disease. The company's platform incorporates AI/ML tools to learn the tRNA language and deliver diverse programmable molecules with broad therapeutic potential. Alltrna has an unprecedented opportunity to advance a single tRNA medicine to unify treatment across a wide range of diseases with the same underlying genetic mutation. Alltrna was founded in 2018 by Flagship Pioneering. For more info, visit www.alltrna.com.
About The Role
Alltrna is unlocking the power of programmable tRNA medicines to treat underserved patient populations. However, considering the broad applicability of our platform technologies, it isn’t self-evident which indications, disease models, and populations we should target. We use real world data to bridge that gap, and we are seeking a bioinformatics scientist with experience in large, real-world biological data sets to inform our pipeline and development strategy.
A successful candidate will have a Ph.D. in computational biology, bioinformatics, genomics or a related field, an additional 3+ years of relevant experience, and a proven track-record of scientific excellence as evidenced by a strong publication and/or patent record.
Core Responsibilities
Lead the strategy, acquisition and analytical integration of data streams from population genetic, genomic and epidemiological data sources
Generate internal databases, analytical pipelines, and scalable scoring tools in the fields of population genetics and epidemiology; developing data analytics focused on disease – gene mutation linkages
Create and maintain internal reference materials including genotype-phenotype connections, epidemiological landscape, preclinical and clinical studies, and competition analytics
Build interactive plots and GUIs to promote data accessibility for exploration by the entire team; craft innovative data visualizations and communicate complex results to interdisciplinary audiences
Continually cultivate scientific/technical expertise through critical review of the scientific literature, attending external conferences, and developing relationships with key opinion leaders.
Work effectively with a cross-functional biology, research informatics, and translational medicine functions
Required Qualifications
Expert knowledge of computational biology tools and bioinformatics approaches for the analysis of population genetic, genomic and epidemiological data, including population genetics, genotype-phenotype connections, pharmacogenomics, and NGS studies at cell, tissue, and organismal levels
Proven track record of gene and transcript data sourcing and acquisition, including web data extraction; data clean up, analysis, and scoring
Proven track record in establishing robust computation biology workflows to generate high quality hypotheses for wet lab testing through integration of genomic, next generation sequencing (NGS) and other relevant data sets.
Deep understanding of statistical and algorithmic principles in data science with fluency in coding languages most relevant to biology & drug discovery (e.g., Python, R).
Strong data visualization and communication skills with the ability to clearly explain the implications of complex data sets and drive decision-making.
Ability to integrate multiple data sources and streams into unified data files
Generation of decision matrices and score cards for quantitative decision making
Preferred Qualifications
Experience with constructing internal sequence databases and scoring tools
Experience developing web-based or stand-alone GUI programs for data visualization (i.e., Dash, Flask, RShiny, D3).
Familiarity with natural language processing tools and applications
Proficient in coding best practices using tools like git, docker, and Jupyter notebooks
What We’ll Offer You
Comprehensive, competitive healthcare and dental coverage through Blue Cross Blue Shield, vision coverage through VSP, family leave, paid time off, 401k retirement plan, disability and life insurance, and fully covered parking/commuter benefits.
A dynamic early-stage work environment and highly interdisciplinary, talented, and collaborative team.
Participation in an unprecedented opportunity to advance a single tRNA medicine to restore disrupted protein production, regardless of target, for thousands of diseases with the same underlying genetic mutation.
Professional growth opportunities through mentoring, training, immersion in cross-functional projects, and opportunities to learn and try new things.
Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. | 2023-03-09 |
null | 2023 PhD Residency - Data Scientist | X, the moonshot factory | Mountain View, CA | null | null | About the job
X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
THE FOUNDATION OF AN AMAZING JOURNEY
Our goal at X is to make the world a radically better place. In order to do that we seek fresh unexpected perspectives, from different fields, and that’s why we’re excited about you.
Life here isn’t easy, but it’s fun. We’re trying to build things most people can’t even imagine, and we’re doing it with the hope of making a huge, positive impact on the world. You’ll be embedded into a moonshot project, where you’ll partner with team members to solve key challenges.
This isn’t your ordinary internship. You’ll be positively challenged and pushed professionally, in ways that you may have never experienced. If this excites you - keep reading.
During Your Internship You Can Expect
To be placed on one of our confidential or public X projects
To get paid competitively and with Google benefits
To be part of a lively community of other Interns and Residents
To attend colloquium and discussions with team leads from across Google, DeepMind and external organizations
Details
Location: X's headquarters in Mountain View, CA
Start Date(s): Year-round rolling basis
Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability
Requirements
Must be enrolled in an academic program and working towards completing a PhD degree
About The Team
One of X’s confidential projects is looking for new team members interested in building breakthrough technologies that advance equity, justice and dignity for historically oppressed groups. As part of this early-stage work, the team is experimenting with quantitative and qualitative modeling techniques. Experience in developing system dynamics stock-and-flow models is a plus.
What You'll Be Working On
Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets
Test and develop new techniques to pull forward critical insights and communicate them clearly to a diverse group of stakeholders
Collaborate with specialists in system dynamics and machine learning to build models of complex systems containing both quantitative and qualitative values and develop techniques to quickly identify feasible interventions on those systems
Develop MVPs to test the team’s underlying hypotheses and dispassionately assess their performance against X’s moonshot criteria
Identify and work with external partners to explore new, more accessible approaches to data analysis and interpretation
Work cross-functionally across, X, Alphabet and academia with relevant experts
Attend X talks and symposia, and learn as much as you can about the moonshot factory’s unique approach
Minimum Qualifications
Currently enrolled in a PhD program in a STEM field or any domain with a strong data science component, e.g., computer science, mathematics, biology, neuroscience, etc.
Experience developing and working with complex systems models
Passionate about the impact of new technologies on historically oppressed peoples
Ability to work in a small team / rapid prototyping environment and deal with uncertainty and fluidity
Preferred Qualifications
Hands-on experience with system dynamics
Experience with data analytics, machine learning and deep neural networks
Fluency in Python
The US base salary range for this role is between $108,000 - $127,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits. | 2023-03-09 |
null | Staff Data Scientist | Netradyne | San Diego, CA | null | null | About the job
The Staff Data Scientist will be a key player in the machine learning engineering team. They will be the expert on the data and able to communicate the findings to various audiences, from internal teams to our customers. Their analysis will drive the product roadmap, setting new initiatives and product enhancements. This person will be responsible for analyzing and communicating key company ROIs.
Attributes:
· Exceptional judgment and ability to narrate/communicate statistical metrics to customers and other non-technical departments.
o Communicate and present findings in a clear and intuitive manner.
o Conduct statistical experiments and data-driven metrics to guide product features.
· Perform data wrangling tasks such as acquiring, cleaning, structuring, and enriching data; experienced with Python/Jupyter and query-based languages (SQL, MongoDB).
· Well-organized and able to track and drive program-level timelines.
o Working closely with Technical Program Managers
· Work closely with the engineering and machine learning teams to enrich data analysis and determine the next steps.
· Great communication skills at all levels & from engineering to non-technical customers.
· We have a hybrid office policy, able to be in the office 3 days per week. We have a global team; the ability to accommodate meetings in other time zones is expected.
Knowledge and Experience:
· M. Tech / PhD in statistics, computer science, electrical engineering, math, or a related area.
· Strong knowledge of statistics, probability, and estimation theory.
· Strong ability to communicate highly technical results to a diverse audience.
· Good hands-on experience of coding - Python (required)
· Experience with deriving useful insights from large and complex datasets.
· Expertise in data visualization and storytelling.
· Experience working with databases - Postgres, MongoDB, etc.
· Knowledge of program management processes (JIRA, GANTT). | 2023-03-09 |
null | Data Analyst 2 - Remote ($67800.00 - $133100.00 / year) | Talentify.io | United States | null | null | About the job
Talentify helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Come make an impact on the communities we serve as we help advance health equity on a global scale. Here, you will find talented peers, comprehensive benefits, a culture guided by diversity and inclusion, career growth opportunities and your life's best work.(sm)
You’ll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities
Working in conjunction with business analysts to develop, test, implement, and maintain production review opportunities
Create SQL algorithms to data mine member and claims data for clients
Focus on driving productivity and quality to aid business partners in achieving and exceeding monthly goals
Organize and execute multiple recurring and adhoc tasks and projects at the same time
Update SOP documents for each new rule and maintenance of existing rules
Monthly analysis of rule performance; forecasted vs. actuals
Create weekly management reports outlining work completed and issues encountered
Maintenance of existing automations and screen scrapes
Collaborate on application architecture design, enhancements, and decision-making
Use metrics and excellent time management skills to ensure business objectives and goals are met
Assist on client calls and serve as subject matter expert on all data fields, values, and adjustment logic
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
Bachelor's Degree or 2+ years of experience in an analytical role using a RDBMS such as MS SQL Server or MySQL
2+ years of experience working from business requirements documents
2+ years of advanced computer skills with Microsoft Word and Excel
Proficient verbal and written communication skills
Healthcare experience
Preferred Qualifications
Experience with Oracle
Experience with Power BI
Experience with Python
Proficient verbal and written communication skills
Ability to work efficiently and effectively with moderate direct supervision
Soft Skills
Ability to maintain understanding of numerous client processes in a distributed environment
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
California, Colorado, Connecticut, Nevada, New York City, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York City, or Washington residents is $67,800 to $133,100. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Hiring Company offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and | 2023-03-09 |
null | Senior Data Scientist | Acxiom | United States | null | null | About the job
This role is very dynamic and diverse requiring specific analytic, mathematic, programming, and statistical skills utilized in the execution of data analysis, statistical modeling, applying analytic solutions and reporting for clients. Analytics related to both online and offline marketing primarily B2C, B2B experience a plus.
*This role can be homebased almost anywhere in the U.S.
What We Need:
We are looking for a well-rounded Data Scientist that has an academic and applied background in statistics and machine learning, along with good communication skills.
What You'll Have:
Bachelor’s or graduate degree in analytics, data science, statistics, computer science or related field, plus 5+ yrs work experience(not just research), along with strong business acumen.
Strong experience with machine learning predictive models, clustering (segmentation), and data visualization.
End-to-end experience developing approach/methodology given business need – ETL/EDA, data quality analysis, model development and, scoring, preparation, presentation of results and deployment into production environment.
Experience with a variety of analytical environments especially GCP, also AWS, Azure, including strong experience with Python, R, SQL. Plus Looker, Tableau, Power BI, Excel and PowerPoint.
BigQuery and Vertex AI a plus.
Experience with both 1st party and 3rd party data a plus.
What Will Set You Apart:
Strong communication and presentation skills, ability to maintain timeline (stay on task)
Strong team player, flexible, and creative
Ability to convince others given complex analysis (match up with audience)
Ability to learn and lead with minimal oversight, work on several projects at same time
Identity resolution experience, data with multiple levels and sources – aggregating & connecting
Experience with marketing related analytics/channels/creative/metrics, especially digital
Passion/Curiosity around newer techniques, ie deep learning
Why Acxiom? We pride ourselves on cultivating an environment that is inclusive, flexible, and full of opportunities for growth. Many of our associates stay at Acxiom for decades, which speaks to our love for and dedication to our associates. Acxiom repeatedly wins company awards including Great Places to Work, Best Workplaces for Innovators and Women. If you want to work at a tech company that prioritizes innovation, empowers diversity, believes in work-life balance, provides world-class associate training and development, and offers great benefits, this IS the place for you! | 2023-03-09 |
null | Data Scientist | IntePros | Charlotte, NC | null | null | About the job
A large telecommunications and mass media company is looking for an experience Data Scientist to work extensively with NLP and LLM.
Degree MS/PhD in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields
3-5 plus years experience developing data models as a Data Scientist and experience building products backed up ML /AI
Working experience in analytics, data mining, and/or predictive modeling, and data interpretation
Very strong NLP / LLM (Large Language Model) experiences
Proven track record in modifying and applying advanced algorithms to address security problems in core engineering work
Experience implementing machine learning models, data pipelines and testing frameworks for production use
Hands on skills on industry-standard machine-learning stack (Jupyter, pandas, numpy, sklearn, Keras, Spark)
Experience in big data technologies
(Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)
Advanced proficiency with Python, Java, and R code writing
Exposure to cloud and cloud computing especially AWS, Sagemaker , EMR, Snowflake (Nice to have)
Expertise in visualizing and manipulating big datasets | 2023-03-09 |
null | Data Scientist | Revolution Technologies | United States | null | null | About the job
Revolution Technologies United States
RevUp Your Career as a Data Scientist
Job Title: Data Scientist
Job Location: Remote
Rate/Salary: $52.00 - $56.00 Per Hr.
***No C2C Candidates will be considered.***
Summary:
The primary responsibilities of this role, Data Scientist is:
Build computer vision end to end pipeline from image data preprocessing, data ingestion, data filtering to imaging model development, deployment, and monitoring
Stitching, georeferencing and analyzing UAV imagery to derive insights and phenotypic metrics
Sufficient knowledge about creating database schemas and methods to store data in cloud/AWS Sagemaker, model training and orchestration in AWS
Adept in defining APIs for user interface and model deployment
Communicate results with the key stakeholders and improve pipelines based on feedback
Using advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions UAV imagery.
Developing sustainable, consumable, accurate, and impactful code for model building and deployment.
Partner with a senior member of the data science team to turn data into critical information and knowledge that can be used to make sound organizational decisions.
Qualifications/Requirements
Required Skills/Experience:
Bachelors degree in Computer Science, Chemistry, Biology, Engineering, or related field.
Bachelors degree: 5+, Masters degree: 2+, PhD: open to school only experience
Good Understanding of image processing, color spaces, machine learning, deep learning, and Convolutional Neural Networks
Understanding of imaging sensors and technology, and photogrammetry is a plus
Remote sensing and geospatial imagery analysis experience specifically UAVs, knowledge of any one tool like QGIS, ENVI, ArcGIS etc.
Experience using any of the image stitching tools like ODM, AgiSoft, etc.
Good understanding of any one of deep learning framework PyTorch, TensorFlow or MXNET and ability to build models from scratch
Knowledge of transfer learning and making ML models work with limited data
Good Understanding of machine learning pipeline in production (MLOPs)
Very good knowledge of Python
Version Control (Git)
Must Have Skills/Experience:
Geospatial Analysis UAV imagine processing Machine Learning/AI imaging model experience Computer vision and photogrammetry
IMPORTANT NOTE for POTENTIAL US CANDIDATES: Our client expects its colleagues to be fully vaccinated against COVID-19. Colleagues are also expected to disclose their vaccination status and if fully vaccinated, provide proof of vaccination status to Occupational Medicine. Our client defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, colleagues are also required to comply with state, local and customer requirements.
Why Revolution Technologies?
About the company
Revolution Technologies - Making a difference across the nation with premier consulting, staffing, and hiring services. Revolution Technologies, founded in 1993, provides best-in-class services that make a positive difference in the lives of our clients and our talent. We provide strategic management consulting; ERP and EA consulting; staff augmentation, contract, and contingent staffing; contract-to-permanent and permanent placement; as well as payrolling, recruitment process outsourcing, and human resources advisement services.
Let’s talk about benefits
Revolution Technologies is proud to offer some of the best rates in the market. Revolution is also pleased to provide a comprehensive benefits package including medical, dental, vision, short-term disability, access to a health savings account, tuition reimbursement, scholarship opportunities, 401k, life insurance, and supplemental insurance.
Equal Opportunity Employer
Revolution Technologies, LLC is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.
Revolution Technologies: Turn to us! | 2023-03-09 |
null | Senior Data Scientist - 6+ Month Contract (W2) | Lawrence Harvey | New York City Metropolitan Area | null | null | About the job
My client is one of the world's leading entertainment/media companies worldwide across production, news, development, and streaming. They have recently entered the streaming service industry and have launched an exciting new product that combines timeless shows and movies with timely news, sports, and pop-culture!
The streaming platform group is looking to expand their data science capabilities to better understand their consumer lifetime value for their streaming platform. They are looking for a Data Scientist to join on a 6-8+ month project - this individual will be responsible for creating advanced models for deep dive analysis on subscriber retention and Customer LTV.
It is possible this contract will go beyond 8 months.
Qualifications/Requirements
4+ years’ experience as a Data Scientist
Master's or Ph.D. with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, or equivalent.
Experience with statistical models, Customer Lifetime Value (CLTV) Models and A/B testing
Experience in statistical learning, customer journey, and customer segmentation
Proficient in Python
Unfortunately, at this time we cannot sponsor or transfer Visa's. This is also not available on C2C. | 2023-03-09 |
null | Master Data Scientist | HP | New Jersey, United States | null | null | About the job
Unique mastery and recognized authority on relevant subject matter knowledge including machine learning technologies, theories and techniques. Contributes to the development of innovative principles and ideas. Successfully operates in HP’s most complex disciplines. Provides highly innovative solutions. Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.
Responsibilities
Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
Defines and implements models to uncover patterns and predictions creating business value and innovation.
Manages and creates relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.
Communicating business value and innovation potential through effective insights/visualizations.
Represents the business at data science events, forums, boards.
Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
Defines, communicates and drives data insights/innovation into the business.
Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
Provides guidance, training and mentoring to less experienced staff members.
Knowledge & Skills
Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.
Demonstrated innovation in the domain
Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
Ability to define and create complex models to pull valuable insights, predictions and innovation from data.
Effectively and creatively tell stories and create visualizations to describe and communicate data insights.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
Leads multiple projects requiring data engineering solutions development.
Drives design innovation.
Education & Experience
Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
Typically 10+ years’ experience including graduate or postgraduate research.
In accordance with applicable law, an offer of employment is conditional upon you providing proof that you are fully vaccinated against COVID 19 (as defined by the CDC) as of your first day of employment.
HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.
So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.
From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive! | 2023-03-09 |
null | Senior Data Engineer | ManTech | Ashburn, VA | null | null | About the job
Secure our Nation, Ignite your Future
Become an integral part of a diverse team while working at an Industry Leading Organization, where our employees come first. At ManTech International Corporation, you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.
Currently, ManTech is seeking a motivated, career and customer-oriented Senior Data Analyst/Engineer to join our team.
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure. In response to this challenge, ManTech, as a trusted mission partner of CBP, seeks capable, qualified, and versatile Senior Data Engineers to facilitate data-driven decision making in response to national security threats.
Responsibilities Include, But Are Not Limited To
Responsible for data analysis of large database tables to understand the data structures, definitions and patterns which will be used to support various predictive models
Working closely with client to assist in managing data needs, and supporting collection of data needed for various operational needs.
Data analysis, problem solving, investigation and creative thinking with massive amount of data supporting variety of operational scenarios
Respond to data queries/analysis requests from various groups within an organization. Create and publish regularly scheduled and/or ad hoc reports as needed.
Researching and documenting data definitions for all subject areas and primary data sets supporting the core business applications.
Responsible for source code control using GitLab
Demonstrate a strong practical understanding of application-relevant cargo and passenger data and databases used to support analytic application development, functionality and targeting end user (officer) operation.
The projected compensation range for this position is $93,500-$145,000. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it’s employees beyond just compensation. ManTech’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone.
ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.
If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information. | 2023-03-09 |
null | Azure ML/Data Scientist | Xoriant | Seattle, WA | null | null | About the job
Required Candidate Skills and Experience:
Machine Learning - working with ML frameworks such as SKLearn or other ML libraries
BS or MS in Engineering, Math, Statistics, Analytics, or Finance
5-8+ years of experience working in a fast-paced environment as a data scientist.
Hands on experience with Azure.
Hands on experience with modeling, optimization, and simulation | 2023-03-09 |
null | Senior Data Scientist - ONSITE | Motionworks International | San Diego, CA | null | null | About the job
ONSITE – SAN DIEGO, CALIFORNIA (Little Italy)
About Us
Motionworks is the trusted population intelligence expert that empowers customers with privacy-compliant, innovative data solutions to help them make smarter, more confident decisions. Motionworks is the fusion of three powerhouse companies in the mobility space, Intermx, Transport Foundry, and Standard Data with a client portfolio that spans advertising, government planning, tourism, transportation engineering, and retail. Powered by geospatial technology and exceptional data scientists, engineers, and UX experts, Motionworks delivers a wide range of high-value mobility insights that provide historical, real-time, normative, and predictive intelligence about how people move around the globe.
Job Summary
As a fast-growing startup, Motionworks is looking for a strong leader at the intersection of data engineering and data science with demonstrated interest in transportation, urban planning, and location-based data. We want people with a passion for understanding real-world human travel and activity patterns, statistics, data modeling, software development, and applying your trade to make the world a better place. This is a blue ocean opportunity to make your mark. You will be tasked with:
Designing, prototyping, and developing innovative data solutions for location-based data analysis.
Analyzing transportation data patterns to ensure our products accurately reflect current conditions
Building mathematical/machine learning models that sit on top of our primary products to help customers better understand how people move about the real world
Developing and managing large scale data repositories and data lakes for our supply chain pipeline
Collaborate with our partners and clients performing consulting work to address their data/product needs
Collaborate with other internal or external developers, engineers, and scientists on new methodologies.
Improving, validating, documenting, and performing analytics work on our current data solutions
An ideal candidate for this position must be a data scientist with proven statistical (Bayesian and Classic) and unsupervised machine learning experience. We want someone who’s curious about applying their skills to the real-world in which we live every day. These attributes are combined to critically analyze a problem at hand, do research on viable and effective solutions, perform modeling work, implement solutions, and analytically assess the results. You will also act as a mentor to other staff in the organization. You will need to communicate complex concepts and solutions to technical and nontechnical audiences through effective visualizations, statistical analysis, and documentation.
We would want you to be organized yet scrappy, thoughtful, and most importantly, to have a strong desire to lead.
Required Qualifications and Skills
Masters or PhD in Mathematics, Physics, Computer Science, analytical City Planning, or Geography (or equivalent degree) or similar degree program with 5+ years of experience in quantitative analytics, data science, or data engineering. This is not an entry level position.
Demonstrated development in Python including Airflow development
Experience to building, developing, and testing statistical and unsupervised machine learning model
Understanding of cloud computing (e.g., Google) and demonstrated experience with tools like Hadoop, Spark in large distributed systems.
Demonstrated SQL experience in at least one of the following: PostgreSQL, BigQuery, or Snowflake
Proven experience working with geospatial data (e.g., geojson, shapefiles)
Experience with version control (preferably Git/GitHub)
Experience with Linux/Unix command line
Ability to create effective visualizations in at least one of the following: Tableau, Matplotlib, or ggplot2
Solid critical thinking and problem-solving skills
Recent experience managing a team of data scientist, analysts, and engineers including recruiting and retaining staff
Preferred Qualifications and Skills
Experience building data pipelines and automating processes with Apache Airflow
Transportation modeling consulting or public sector service
Salary Range
$225,000 - $275,000 plus opportunities for goal-oriented bonuses
Location
San Diego, California (must be present in office 3+ days per week)
Benefits
Medical, dental, and vision coverage for you and your dependents
First year of employment gives two weeks of PTO, four weeks thereafter
14 holidays and flex holidays
401(k) plan
Employee equity
Motionworks does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, parental status, military service, or other non-merit factor. | 2023-03-09 |
null | Data Scientist | Premier Talent Partners | San Francisco, CA | null | null | About the job
Responsibilities
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Identify valuable data sources and automate collection processes
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Present information using data visualization techniques
Analyze large amounts of information to discover trends and patterns
Undertake preprocessing of structured and unstructured data
Qualifications
Bachelor's Degree in Computer Science, Engineering or relevant field
Problem-solving aptitude
Excellent communication and presentation skills
Strong math skills (e.g. statistics, algebra)
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Understanding of machine-learning and operations research
Proven experience as a Data Scientist or Data Analyst
Job Highlights
Our Software Client is seeking world-class analytics and data science professionals to join our Experimentation Center of Excellence (ECOE) team. They're looking for people with business instincts, team mindset, creativity, and analytics, who are passionate about applying their skills to help teams learn from experiments.
Experience applying your analytics skills to contribute to projects or programs which have had a proven impact on business performance and process.
An agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing “having something now" vs. "perfection in the future".
Expertise in data manipulation and some history with statistical programming languages (SQL/Python/R).
Mastery of telling stories with data and proficiency in visualizations tools (e.g. Tableau, Redash).
Compensation
$78 - $80 /hour Pay Rate
To be considered for our open positions, please register in Premier’s talent platform by clicking “apply”.
Premier Talent Partners is a recruitment firm specializing in contract/temp, temp-perm, permanent, and payrolling needs across all industries, supporting equitable hiring nationwide. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. You must be eligible to work in the United States - sponsorship will not be provided.
Compensation listed is dependent on the skills/experience for this given role. If you're interested in other positions like this, please note that rates and benefits packages are variable. | 2023-03-09 |
null | Data Scientist II | Generate Biomedicines | Somerville, MA | null | null | About the job
About Generate Biomedicines
Generate Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. Generate has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development.
We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!
Generate was founded in 2018 by Flagship Pioneering and has received over $420 million in funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with over 250 employees.
The Role:
At Generate, we believe in the power of machine learning and protein engineering to dramatically improve human wellbeing. This means creating better medicines, accessible to more people, in a fraction of the time. We are building a flexible protein generation platform that has the potential to target diverse human diseases using a wide array of modalities (e.g., antibodies, peptides, enzymes, and more). At the heart of this is an iterative loop of machine learning-powered generation and high-throughput data collection to create medicines that are potent, safe, and impactful for patients.
We are seeking a creative and skilled data scientist to tackle a range of challenging data problems central to the success of our platform. They will join a vibrant and growing computational sciences team at Generate pushing the frontiers of machine learning applied to protein generation and modeling. In this role you will leverage both in-house and external datasets to derive key insights, as well as develop methods to maximize ‘closed-loop’ learning of our large-scale data-generation and machine learning platform.
The ideal candidate will have extensive experience using probabilistic and machine learning models in an applied setting, a passion for optimizing the quality of data used for large-scale learning, as well as a strong intuition for how to derive practical and actionable insights from complex datasets. Success in the role will require working in a highly collaborative environment with an interdisciplinary group of computational scientists, biologists, and engineers.
Here's how you will contribute:
Work collaboratively with wet-lab and computational scientists, software engineers, and other key stakeholders to develop and improve data workflows from experimental designs through ML pipelines
Develop strategies and build tools to QC, process and integrate datasets for production ML model training.
Leverage in-house and external datasets to design and test new protein modeling and optimization strategies.
Identify and evaluate externally developed methods and datasets of interest, and integrate into in-house workflows where appropriate.
The Ideal Candidate will have:
PhD in applied quantitative discipline (e.g. Computer Science, Statistics, Physics, Bioinformatics, etc.) or equivalent industry experience
2+ years experience in an applied team research setting
Strong foundational knowledge of probabilistic modeling and machine learning
Demonstrated experience working with large complex datasets to derive practical insights
Proficiency in Python and experience working in a team setting using software engineering best practices.
Strong communication skills and ability to work in cross-functional team settings
Nice to have:
Fluency in key concepts of protein science and engineering
Experience working with high-throughput biological screening datasets
Experience analyzing/modeling protein structure
Generate Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
COVID Safety:
Generate Biomedicines enforces a mandatory vaccination policy for COVID-19. All employees must be fully vaccinated and have received a booster. The purpose of this policy is to safeguard the health of our employees, their families, and the community at large from infectious disease that may be reduced by vaccinations. The company will make exceptions to this policy if required by applicable law and will consider requests for an exemption from this policy due to a medical reason, or because of a sincerely held religious belief, or any other exemptions that may be recognized by applicable.
Recruitment & Staffing Agencies : Generate Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate Biomedicines or its employees is strictly prohibited unless contacted directly by Generate Biomedicines’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate Biomedicines, and Generate will not owe any referral or other fees with respect thereto. | 2023-03-09 |
null | NGSE Data Scientist | Zoetis | United States | null | null | About the job
Candidates can be based anywhere in the US.
Role Description
POSITION SUMMARY:
The role will directly enable the development of an advanced-analytics enabled enhancement of the go-to-market sales strategy. The candidate will produce insightful analytic data models to capture and explain performance trends of the Zoetis Sales Force, while driving optimization opportunities and proactive direction for the Sales Organization. The candidate will interface across the organization to answer challenging analytical questions and highlight customer-related insights, such as revenue generation ideas and strategies to detect and prevent potential customer defection. The candidate will also produce creative solutions to complex business problems using advanced analytical techniques, while leveraging both internal and external data sources. The role will involve frequent interaction with key stakeholders across the sales and marketing organizations and provide the candidate with an exceptionally broad view of every aspect of Zoetis' business, while serving as critical support for the US Petcare division.
To be successful, the ideal candidate will demonstrate a thirst for knowledge and natural curiosity to enable rapid learning of the Zoetis business model and data infrastructure at a scale to support a growing $2b region. The position involves working with structured and unstructured real-world data, requiring a candidate who is comfortable thinking independently about solving business problems. Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision, and must be comfortable in an environment of changing priorities. Candidates should have a strong business acumen, with evidence of delivered business value, preferably in a commercial setting
POSITION RESPONSIBILITIES:
Build predictive models to inform advanced insights, account prioritization, next-best-action, campaign optimization, and commercial test-and-learn for NGSE
Perform predictive analytics to identify core opportunities to drive business value, utilizing machine learning techniques such as logistic regression, random forests, collaborative filtering, sentiment analysis and topic modeling
Generate buy-in and engagement by effectively communicating results through presentations and visualizations
EDUCATION AND EXPERIENCE:
Masters from an accredited college/university in Computer Science, Statistics, Mathematics, Operations Research, or related field
Minimum of two years of professional experience working as a Data Scientist
TECHNICAL SKILLS REQUIREMENTS:
Demonstrated experience building deployed prediction models to create business value, preferably in sales and marketing applications
Strong analytical mind and business acumen; ability to translate mathematical models and results into business concepts
Excellent interpersonal, written, and verbal communication skills; demonstrated ability to effectively communicate complex ideas to a non-technical audience
Experience in building predictive models in R or Python (Pandas/PySpark)
Experience in large-scale/distributed computing and analytics (Hadoop, Spark)
Strong statistics acumen including design of experiments
Knowledge of SQL
Experience with source control and collaboration tools (e.g. Git)
Experience working in a cloud environment (Azure, AWS, Google Cloud)
Experience in data engineering a plus
Tableau / data visualization experience a plus
Software development / engineering experience a plus
Experience in scaled model testing, integration, and deployment (DevOps) a plus
Experience working in Microsoft tech stack including SQL Server and Azure preferred
PHYSICAL POSITION REQUIREMENTS:
Fluency in English required | 2023-03-09 |
null | Strategy & Transformation Date Scientist II - Remote | UNFI | Providence, RI | null | null | About the job
Purpose
The Data Scientist II is responsible for using data and advanced analytics to improve business outcomes. This role will be responsible for developing, testing, and implementing statistical and machine learning models for predictive analytics, and taking an iterative approach to improving results. This role has a solid understanding of predictive modeling and machine learning techniques, model development, model/ml-ops and governance, possess a strong background of using analytics to solve business problems, with excellent written and verbal communications skills.
Essential Functions
Job Responsibilities:
Problem Formation
Works with internal business stakeholders to gather requirements for analyses and translates these requirements into actionable analytical approaches.
Data Prep
Acquires, cleans, transforms, and features engineers’ data in preparation for analysis
Performs data quality checks to ensure that it is fit for purpose.
Analytical Modeling
Selects appropriate modeling techniques for complex problems with large scale structured and unstructured data sets.
Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inference) on available data.
Model Assessment & Validation
Identifies the model evaluation metrics.
Applies best practice techniques for model testing and tuning.
Assesses accuracy, fit, validity, and robustness.
Communication
Clearly presents model results to and influences peer and stakeholder audiences.
Participates in the review of models developed by others.
Operationalization & Monitoring
Assist with the operationalization and monitoring of models.
Job Requirements
Education/Certifications/or Equivalent combination of education, training, and experience:
Bachelor’s degree in computer science, engineering, mathematics, economics, finance, or a similar field.
Master’s degree preferred.
Experience
3-6 years of relevant technical experience in the following:
Predictive Modeling and Machine Learning.
Model-Ops/ML-Ops and Governance
4 years’ experience using Python and SQL
Experience with cloud-based statistical modeling and machine learning platforms a plus
Alteryx experience preferred
Knowledge/ Skills/ Abilities
Ability to collaborate as part of a cross-functional Agile team to:
Build optimized data pipelines that facilitate the construction and operationalization of statistical and ML models.
Create, validate, and operationalize statistical and ML models that comprehensively solve business needs.
Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, deep learning, simulation, and optimization algorithms.
Process mindset with excellent documentation skills
Physical Environment/Demands
Some travel may be required.
Most work is performed in a temperature-controlled office environment.
Incumbent may sit for long periods of time at a desk or computer terminal.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear.
Incumbent may use calculators, keyboards, telephone, and other office equipment during normal workday activities.
Stooping, bending, twisting, and reaching may be required in the completion of job duties.
All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or protected veteran status. UNFI is an Equal Opportunity employer committed to creating an inclusive and respectful environment for all. - M/F/Veteran/Disability. VEVRAA Federal Contractor.
Additional Information
Additional Locations: United States of America
Schedule: Full-time
Compensation
Pay Range: $80,000 - 149,500 Annually ($38.46 - 71.88 Hourly) | 2023-03-09 |
null | Data Scientist | WaferWire Cloud Technologies | United States | null | null | About the job
The Data Scientist works on a team using statistical, mathematical, and predictive data models to bring insights and answers to complex business questions. They will apply their advance analytics and solution engineering skills to data to build solutions. They will work on data sets from various sources and focus on solving applied problems using Natural Language Processing, Text Mining, Data Mining & Machine Learning. A blend of experience in science and engineering skills, and a proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills is desired.
- 5+ years of experience
- Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, computational algorithms, and data science techniques.
- Participate in and lead the running of experiments and documentation of results in technical or research white papers.
- Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
- Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
- Conduct statistical modeling and experiment design, test and validate predictive models.
- Conducts scalable data research, on and off the cloud.
- Develop custom algorithms to solve analytical problems with data sets.
- Implement automated processes for scaling models.
- Build and maintain data pipelines.
Top 3 required skills:
Skill | Years of Experience – Applied Data Science; Knowledge of machine learning solutions (classification, regression, clustering, forecasting, NLP, image recognition, etc.) | 5 years
Skill | Years of Experience – Azure Machine Learning, using scripting languages such as Python | 3 years
Skill | Years of Experience – Domain; Background and knowledge in public sector | 3-5 years | 2023-03-09 |
null | Data Scientist | Aditi Consulting | Bellevue, WA | null | null | About the job
Position Details
Job Title: Sr. Data Scientist/ ML Engineer
Location: Bellevue, WA
Duration: 12+ months
Required Skills:
Data Bricks, Azure.
Essential Functions:
Support Client projects from strategy through implementation and on-going improvements.
Perform data collection, analysis, validation, cleansing, developing software in support of multiple machine learning workflows, integrating / deployment of code in a large-scale production environments and reporting.
Designs, codes, tests, debugs, and documents Client code - models, ETL processes, SQL queries, and stored procedures.
Extracts and analyzes data from various structured and unstructured sources, including databases, files, data lakes and external APIs/websites.
Responds to data inquiries from various groups within client's organization.
Requires experience with relational databases, document databases (NOSQL) and knowledge of query tools and/or statistical software.
Responsible for other duties/projects as assigned by business management / leadership.
Qualifications
Min 5 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting
Min 5 plus years of applied experience in building and deploying Machine Learning solutions using various supervised/unsupervised Client algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect their performance.
Min 5 plus years of hands-on experience with Python and/or R programming and statistical packages, and Client libraries such as scikit-learn, TensorFlow, PyTorch, etc. | 2023-03-09 |
null | Senior Data Scientist, NLP | Flatiron Health | New York, NY | null | null | About the job
We're looking for a Senior Data Scientist to help us accomplish our mission to improve lives by learning from the experience of every cancer patient. Here's what you need to know about the role, our team and why Flatiron Health is the right next step in your career.
What You'll Do
At Flatiron, we’re pioneering the use of machine learning (ML) and natural language processing (NLP) to extract clinically relevant information from unstructured medical notes for use in oncology research. The Prism team is helping to build these next generation research data products, developing ML models to capture a complete picture of the patient journey. While most of the team are Data Scientists, Prism has team members spanning 5 different fields, from data science to product management to research oncology.
You will work with the Prism team to help guide our product roadmap and help lead the technical development effort of our models. Engaging with a cross-functional group of stakeholders both within Prism and across the company, you will lead model development projects from scoping through to productionization and delivery.
In Addition, You'll Also
Interface with internal scientific stakeholders and customers to understand what data they need to conduct high quality research.
Apply ML and NLP techniques to turn raw clinical data into high quality research variables.
Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific insights.
Collaborate with other Data Scientists on our team and across the company to level-up our ML capabilities by developing new ML architectures.
Work cross-functionally with software engineers to productionize these new variables.
Who You Are
You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and collaborative problem-solver who seeks and gives candid feedback, and values the chance to make an important impact.
You have 4+ years of relevant working experience in a technical capacity, with a focus on ML and NLP.
You have a strong background in applying ML to solve real-world problems.
You have collaborated with other technical team members in a production development environment using formal version control, Python, and SQL.
You have led large, cross-functional initiatives and excel at influencing decision-making without authority.
Extra Credit
You have experience with Deep Learning and LLMs.
You have ML experience in a healthcare setting.
You have experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting.
Life at Flatiron
Benefits
At Flatiron Health, we offer a full range of benefits to support you and your loved ones so you can focus your working hours on improving cancer care and accelerating cancer research, and your non-working hours on everything else life has to offer
Work/life autonomy via flexible work hours and flexible paid time off
Comprehensive compensation package
401(k) contribution to help you reach your retirement planning goals
Financial health resources including 1:1 financial advice
Mental well-being tools and services
Parental benefits and policies including family-building care and generous paid leave
Path to parenthood programs supporting fertility, adoption and surrogacy
Travel support for safe healthcare services
Lifestyle spending account for perks that make sense for you and your family
In addition to our robust benefit offerings, visit our Life at Flatiron page to learn how we support continuous learning through professional development programs and celebrate Diversity in the workplace.
Flatiron Health is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Salary Range: $163200 - $244800
Preferred Primary Location : NYC Headquarters
The annual pay range reflected above for this position is based on the preferred primary location of the role which is listed in the job description. Salary ranges for other locations vary from the range reflected above. Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. | 2023-03-09 |
null | Data Scientist | University of Phoenix | Phoenix, AZ | null | null | About the job
About The Position
A Data Scientist uses techniques that integrate traditional and non-traditional datasets to develop analytical solutions and deliver business insights for the management, planning and optimization of University of Phoenix operations, strategies and student learning. The individual applies statistical methods, machine learning, and optimization techniques to produce solutions and insights that enable customer-facing and strategical decision-making applications.
What You’ll Do
Participate in the execution of complex statistical and machine learning analyses on large scale data sets to understand trends, discover relationships among variables and formulate predictive insights, conduct qualitative and quantitative analyses and build analytical models on data from existing databases, observations, and business and learning processes.
Resolve problems in business planning, management and optimization projects that are consistent with the University’s mission and business agenda/needs by applying analytical, statistical, machine learning, simulation, and/or experimentation methods.
Develop data models and perform statistical and machine learning analysis by developing and maintaining efficient SQL/Python/R code.
Deliver results generated from existing data science driven solutions that can bring business value and interpret project results.
Contribute in preparing reports and documentation on research findings, communicate model output both externally and internally, and present project results in a clear and effective manner through creative visualization.
Maintain and increase professional and technical knowledge and currency via self-research and by attending conferences, workshops and training. Research latest techniques and tools to continuously enhance the discipline.
Perform other duties as assigned or apparent.
NOTE: The primary accountabilities above are intended to describe the general content and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or most of the primary accountabilities listed above. Specific goals or responsibilities will be documented in the incumbents’ performance objectives as outlined by the incumbents’ immediate supervisor or manager.
Job Supervisory Responsibilities
None
What You Bring to the Table
Minimum Knowledge, Skills, And Abilities)
Master's degree in a quantitative field such as statistics, computer science, mathematics, economics, or finance
One (1) year of hands-on experience in the areas of inferential statistics, machine learning, simulation and predictive modeling, including proficiency with SQL, Excel and SAS, R or Python and knowledge of Microsoft SQL Server, statistical modeling and machine learning software (such as SAS Enterprise Guide, SAS Enterprise Miner, R Studio and Jupyter Notebook)
Preferred Knowledge, Skills And Abilities
Mathematical/statistical skills including regression analysis (linear, logistic, parametric), forecasting models, factor/component analysis, decision trees, segmentation and cluster analysis
Knowledge of distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
Strong critical thinking and logical reasoning skills
Strong verbal and written communication skills to effectively interact with internal and external customers and department staff
Ability to follow verbal directions and instructions from the management to perform project work
As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.
If you are an active-duty military member seeking employment when off-duty, compliance with Department of Defense Joint Ethics Regulation, 5500-7-R, is required prior to starting employment with University of Phoenix. You are advised to contact your base Judge Advocate General to seek such approval and answer any questions. | 2023-03-09 |
null | Geospatial Data Scientist | The University of Texas at Austin | Austin, TX | null | null | About the job
Job Posting Title:
Geospatial Data Scientist
Hiring Department:
Applied Research Laboratories
Position Open To:
All Applicants
Weekly Scheduled Hours:
40
FLSA Status:
Exempt
Earliest Start Date:
Immediately
Position Duration:
Expected to Continue
Location:
PICKLE RESEARCH CAMPUS
Job Details:
Purpose
The Signal and Information Sciences Lab (SISL) delivers capabilities to government customers for diverse applications, from information science, geospatial remote sensing, and modeling and simulation.
SISL is seeking a motivated individual to support research and development tasks relating to geospatial data collection, analysis, and algorithm development.
Responsibilities
Developing, implementing, and testing algorithms to meet project requirements.
Operating Unmanned Aerial System (UAS) hardware and software to produce 2D and 3D geospatial data products.
Employing Machine Learning (ML), computer vision, and data visualization techniques to conduct in-depth data analysis.
Implementing geospatial data products within simulated or virtual environments.
Deploying and supporting software delivered outside of ARL:UT.
Other related functions as assigned.
Required Qualifications
Bachelor’s degree in Geographic Information Systems (GIS), Computer Science, Engineering, or other related discipline.
Three years of applied research experience related to the functions of the position.
Experience using common data science tools and techniques for geospatial data product development and data visualization.
Experience using geospatial data products derived from lidar and/or stereo-photogrammetry.
Proficiency using Python for algorithm development, testing, and implementation.
Awareness of Unmanned Aerial System (UAS) hardware, firmware, and flight planning software.
Familiarity implementing machine learning, feature engineering, and/or other computer vision techniques.
Experience developing on Linux and Windows operating systems.
Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team.
Applicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with diverse groups of clients. Able to work under pressure and accept supervision. Regular and punctual attendance.
US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.
Preferred Qualifications
Master’s degree in GIS, Computer Science, Engineering, or other related discipline.
Proficiency using geospatial data products derived from lidar and/or stereo-photogrammetry.
Proficiency using specific Python modules such as laspy, SciPy, GeoPandas, scikit-learn, and GDAL.
Experience operating a UAS for image and data collection.
Knowledge of commercial geospatial data sets for use in topographic analysis.
Experience using photogrammetric software to produce 3D data sets.
Experience using and implementing software code in C/C++.
Experience implementing machine learning, feature engineering, and/or other computer vision techniques.
Current or previously held remote pilot-in-command (RPIC) license.
General Notes
An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.
Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.
Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.
UT Austin offers a competitive benefits package that includes:
100% employer-paid basic medical coverage
Retirement contributions
Paid vacation and sick time
Paid holidays
Please visit our Human Resources (HR) website to learn more about the total benefits offered
Salary Range
$93,000-$175,000
Working Conditions
Standard Office Conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Possible weekend, evening and holiday work
Possible interstate/intrastate travel
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Unofficial college transcript
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
E-Verify Poster (English) [PDF]
E-Verify Poster (Spanish) [PDF]
Right To Work Poster (English) [PDF]
Right To Work Poster (Spanish) [PDF]
Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701. | 2023-03-09 |
null | System and Mission Engineer | MITRE | Bedford, MA | null | null | About the job
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.
The System and Mission Analysis Department is charged with identifying, developing, and applying new technologies that can address the Government's most challenging Systems Engineering problems.
This is an opportunity for a Systems Engineer who is highly motivated, innovative, and proactive. This position provides challenging opportunities to apply and expand one’s systems architecture, modeling and tradespace analysis skills. Specific areas of interest include practical application of AI, Systems of Systems, architecture modeling, modeling and analysis of complex systems, and decision support.
Roles and Responsibilities:
Developing your keen understanding of systems and mission engineering and an awareness of sponsor needs to determine areas where MITRE can have an impact
Evaluating and comparing alternative architectures using qualitative and quantitative techniques; exploring large tradespaces
Articulating major uncertainties associated with systems architectures, defining risks and opportunities associated with the uncertainties
Identifying or developing metrics to measure and analyze relevant system properties, such as robustness, resiliency, interoperability, quality, robustness, and maintainability
Supporting requirements management, interface management and architecture change management processes
Performing System Design and development (such as software development), systems modernization, and architecture
Translating analysis results into actionable recommendations for the US Government agencies
Required Qualifications:
Bachelor's Degree in Engineering, Physics, Mathematics, Systems Engineering, related field, or equivalent combination of related education and work experience
At least 2 years of Systems Engineering experience
Must be a U.S. citizen with ability to obtain and maintain DoD clearance
Interest in complex multi-disciplinary problems
Experience with programming language such as Python and R
Experience with AI relevant fields, such as computer vision, deep learning, machine learning.
Preferred Qualifications:
Advanced degree in related field of study
Experience with multi-disciplinary modeling and simulation (physics-level, engineering-level and/or socio-technical-level)
Knowledge of methods for assessing the impacts of emerging technologies on socio-technical enterprises
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Work Location Type:
Hybrid
Subject to all federal and state laws, rules and regulations, MITRE requires all employees to be fully vaccinated against COVID-19. Newly hired employees must be fully vaccinated prior to their employment start date. MITRE will provide reasonable accommodation to individuals who are legally entitled to an exemption under applicable laws so long as it does not create an undue hardship for MITRE and/or does not pose a direct threat to the health or safety of the employee or others in the workplace.
MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please contact MITRE’s Recruiting Help Line at 703-983-8226 or email at recruitinghelp@mitre.org.
Copyright © 1997-2023, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Benefits information may be found here | 2023-03-09 |
null | Remote Data Scientist | Burtch Works | Seattle, WA | null | null | About the job
Job Description:
Looking for start-up sized impact with enterprise sized stability? Our client, an up-and-comer in the telecom/wireless space, is looking to add a Remote Data Scientist to their blossoming data team! You will have the opportunity to work with a small team on a wide variety of projects and business applications in the latest data science tech stack. You’ll be building machine learning models, develop Natural Language Processing models, and solving problems around customer churn and customer lifetime value. Your work will lay the foundation for the future success of this team!
Requirements:
Degree in a quantitative field such as mathematics, statistics, economics, data science, or similar. Advanced degrees a big plus!
Demonstrated experience implementing projects/models in a business environment
Expertise in Python/R or other programming language and SQL
Track record of being a great team player/collaborator with excellent communication skills
Must be able to travel to AZ or OR 2x year (company sponsored).
Salary ranges from $110-140k, plus generous end of year bonus! Sponsorship is not available for this position.
Keywords: data science, wireless, telecom, NLP, BI, business intelligence, business analysis, business analytics, consumer behavior, customer behavior, customer acquisition, churn, retention, customer lifetime value | 2023-03-09 |
null | Data Scientist | iCapital | Greenwich, CT | null | null | About the job
iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services approximately $152 billion in global client assets invested in 1,210 funds, as of December 2022.
iCapital has been named to the Forbes Fintech 50 for five consecutive years (2018 – 2022); a back-to-back selection by Forbes to its list of Best Startup Employers; and a two-time winner of MMI/Barron’s Solutions Provider award (See link below).
About The Role
iCapital is looking to hire an outstanding Data Scientist to join our Data and Analytics team. This role will drive engineering of iCapital’s firm wide data science platform. Your typical day is designing solutions and coding new features for users. The ideal candidate will be working across Product Management, Data & Analytics, and Technology teams.
Responsibilities
Build and integrate AI/ML/DS tools and workflows to address business needs and increase business efficiency.
Build and leverage new and existing tools for Natural Language Processing (NLP), Optical Character Recognition (OCR), and intelligent document processing tasks.
Build and leverage models and data for recommendation systems and engines, including for sales, marketing, and business efficiency tasks.
Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures.
Research, scope, train, deploy, and support machine learning models through a full development lifecycle.
Qualifications
4-8 (mid-career) years of experience as a researcher or developer in data science or related fields
Masters in STEM or a technical field
Experience with common web development languages including Ruby, HTML and/or Javascript
Experience with web development and database integration principles and practices, including SQL and NoSQL databases
Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation
Experience with cloud computing platforms including AWS, Azure, and/or GCP
Degree or Advanced Degree (Masters and/or PhD) in STEM or a technical field
A portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc.
Publications, conference talks, and/or patents in AI/ML/DS or related fields
Experience working in a Finance or Financial Technology job with Alternative Investments experience highly preferred
Proven Data Science experience
Research experience in Al/ML
Interest in working on a highly technical team
Excellent verbal and written communication skills
Experience with the full life cycle of AI/ML/DS tools: development, implementation, and maintenance
Strong experience programming in common data science languages including Python, R, and/or Matlab
Strong experience with machine learning frameworks and tools such as Tensorflow, Tesseract, PyTorch, and/or Keras
Benefits
The base salary range for this role is $120,000 to $150,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We offer most employees the flexibility to work in the office three to four days and remotely for the remainder of the week. Every department has different needs, and some positions will be designated in-office jobs, based on their function.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. | 2023-03-09 |
null | Senior Data Scientist | Virtusa | Columbus, Ohio Metropolitan Area | null | null | About the job
Qualifications:
7 - 10+ years of proven applied Data Science experience and involvement in packaged platform delivery and management.
A Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or another related field, or equivalent years of relevant work experience is required.
A Master’s degree or Ph.D. in the related field is highly preferred.
Business acumen (a strong understanding of how the business operates, and how to harness data and analytics to meet business needs).
Strong mathematical and statistical skills.
Experience with optimization techniques and AI techniques.
Proficient in feature engineering techniques and exploratory data analysis
Experience in statistical and data mining techniques (such as boosting, generalized linear models/regression, random forests, trees, and social network analysis).
Experience with machine learning techniques such as artificial neural networks, clustering, decision tree learning, and dimensionality reduction.
Understanding of cloud data engineering and integration concepts.
Experience with Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, and Google Cloud Storage, is preferred
Excellent oral and written communication skills.
Comfortable reading academic research papers and applying them in building models.
Ability to work independently and within a cross-functional team environment.
Experience with DevOps Agile practices preferred.
Responsibilities:
Use statistical analysis to determine which data modeling approach to use, model the algorithm, and build a prototype.
Lead data science projects and partner with cross-functional teams to deliver end-to-end advanced analytics/machine learning solutions.
Diagnose business needs, analyze business processes, data flows, and IT / technical artifacts, and extract an understanding of how the system or business process works as input for model development. Translate the business problem into a technical model.
Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and build tools to drive decisions.
Communicate results and statistical concepts to key business leaders.
Assist in the operationalization of the model and develop techniques to improve the interpretability of the machine learning outcome.
Develop A/B testing framework and test model quality
Build processes and tools to help monitor and analyze model performance and data accuracy.
Use deep subject matter/ functional expertise, influence, and process skills to help internal/external customers and stakeholders identify and meet their high-priority needs while considering cultural and diversity implications.
Work across diverse teams, perspectives, and opinions and quickly build consensus.
Mine and analyze large structured and unstructured datasets. | 2023-03-09 |
null | Sr. Data Scientist (NLP) | McKesson | New York, United States | null | null | About the job
Ontada is a leading oncology real-world data and evidence, clinical education and provider technology business dedicated to transforming the fight against cancer. Part of McKesson Corporation, we support science through our data, technology, and channels, which accelerate innovation for life science companies, support the education of community oncology providers and advance patient care. Together with our partners, we improve the lives of cancer patients.
Position Summary
We are looking for an experienced Senior Natural Language Processing (NLP) Data Scientist with strong technical skills. The Senior NLP Data Scientist is involved in the full lifecycle of data solutions, from data engineering, modeling, operationalizing, presentation, and maintenance. It is the ideal opportunity to become part of an innovative and energetic team developing insights to advance oncology care.
Key Responsibilities:
Collaborate with product management, product owners and engineering departments to understand business needs and devise solutions.
Work closely with analysts, data warehousing, and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing, and developing optimal data architectures, and experimenting on new ML techniques
Communicate process, requirements, assumptions and caveats of advanced ML and NLP concepts and deliverables in laymen languages to non-technical business leaders
Research and prototype NLP-based solutions by utilizing data sources such as genomics, medical imaging, and speech-to-text outputs from healthcare technologies such as Nuance's Dragon suite.
Technical Responsibilities
Develop ML NLP models from unstructured healthcare data such as provider notes, EMR attached documentation, etc
Maintain and enhance Optical Character Recognition (OCR) support for running NLP on scanned healthcare documents
Participate in the full lifecycle of end-to-end NLP and OCR solutions, from planning, designing, technical implementation, deployment, validation, support, and maintenance
Handle data engineering tasks using Python, PySpark, and Pandas.
Make use of state-of-the-art NLP model architectures such as BERT (and derivatives like BioBERT, RoBERTa, etc.), BiLSTM, and XLNet in NLP pipelines.
Design, implement, deploy, and maintain deep learning and ML models using cloud technologies (e.g., Azure Databricks)
Provide mentorship and guidance to junior team members in areas of technical and professional development
Develop creative solutions for diverse problems including unstructured data, ontology development, and ML applications
Evaluate new technologies and tools prior to wider adoption
Minimum Requirements
A degree in a quantitative field such as Statistics, Machine Learning, Mathematics, Computer Science, Economics, Epidemiology or any other related field (Master’s Degree or higher preferred)
5+ years of industry experience in ML and/or data science roles in healthcare
Additional Critical Skills
Proficient in big data technologies such as Hadoop, or Spark
Deep understanding of NLP tools and frameworks such as Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc
Deep understanding of various machine learning/deep learning algorithms, including supervised, unsupervised, and reinforcement learning methods.
Proficient in OCR technologies such as Tesseract
Development and ML experience in cloud platforms such as Microsoft Azure
At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position
$117,500 - $195,800
McKesson is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.
Current employees must apply through the internal career site.
Join us at McKesson! | 2023-03-09 |
null | Senior Data Scientist | Fidelity Investments | Durham, NC | null | null | About the job
2065138-2
Job Description
Join the Exciting World of AI in Finance!
Here at Fidelity we strive to strengthen the financial well-being of our clients; The Emerging Tech Data Science team is looking for highly motivated and technical data science lead to join our dynamic Quant Technology group at Fidelity Brokerage Services. This is a once-in-a-lifetime opportunity to be at the forefront of applying new AI technologies in the financial investments domain and make a real impact!
You will work closely with other data scientists, ML engineers, quants and portfolio managers to prototype and deliver impactful data science solutions. With locations in Boston, MA; Raleigh, NC; Merrimack, NH; or Smithfield, RI, this is your chance to join a passionate and highly skilled team.
We're Looking For Someone With
Masters or Phd in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
5+ years of work experience as a data scientist or machine learning engineer.
A passion for financial markets and knowledge to match.
Hands-on experience with Natural Language Processing/Generation, Graph ML, Deep Learning, Time Series Forecasting, Reinforcement Learning - the more, the better!
Leadership skills and experience leading and mentoring technical individual contributors.
A track record of evaluating and making decisions around the use of new or existing ML algorithm for a project.
Experience with large scale-multi dimensional databases, business infrastructure, and multi-functional teams.
Proficiency in Python, R, SQL, Spark, Scala.
A talent for presenting complex topics to non-technical audiences.
Strong algorithm development and predictive modeling skills.
The Team
The Emerging Technology team is on the frontier of Asset Management Technology and delivers innovative, scalable, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this truly impactful initiative will provide a major contribution to Asset Management’s investment performance and scale and efficiency objectives.
Please see below for the salary range for work locations in Colorado only:
N/A
Please see below for the salary range for work locations in New York City, Westchester County, NY and Jersey City, NJ only:
N/A
Please see below for the salary range for work locations in California only:
N/A
Please see below for the salary range for work locations in Washington only:
N/A
Certifications
Company Overview
Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients’ money.
Join Us
At Fidelity, you’ll find endless opportunities to build a meaningful career that positively impacts peoples’ lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees’ Choice Award, we have been recognized by our employees as a Best Place to Work in 2023. And you don’t need a finance background to succeed at Fidelity—we offer a range of opportunities for learning so you can build the career you’ve always imagined.
At Fidelity, our goal is for most people to work flexibly in a way that balances both personal and business needs with time onsite and offsite through what we’re calling "Dynamic Working."
We invite you to Find Your Fidelity at fidelitycareers.com.
Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations @fmr.com, or by calling 800-835-5099, prompt 2, option 3. | 2023-03-09 |
null | Senior Data Scientist | Clarivate | Philadelphia, PA | null | null | About the job
We are looking for a Senior Data Scientist to join our global Data Science & Search group. This is an excellent opportunity to use your skills in in an innovation team working on a multitude of problems to solve.
About Clarivate Business And Products...
Due to growth in our Web of Science and other AI search initiatives, we are looking for a strong data scientist to be an important part of the next generation of search products for WoS. Projects include:
AI-powered search as part of growth strategy: focusing on model optimization, content and product differentiation, One Clarivate integration.
Continued expansion and improvement of Article Recommendation Service
Question & Answer search for Cortellis Regulatory Intelligence
What will you be doing in this role?
Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites
Implements these methods and devises appropriate test plans to validate and compare the different approaches
Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data
Explores existing data for insights and recommends additional sources of data for improvements
About You..
Minimum BS degree in computer science, mathematics, statistics, data science or engineering
Minimum 5 years of strong coding experience with major languages, including Python (less if possessing advanced degree)
Minimum 3 years of experience in machine learning with added NLP and statistical methodologies.
It would be great if you also had . . .
Advanced degree (MS/PhD) in computer science, technology or engineering
Java experience preferred
Experience with information retrieval algorithms and recommender systems
Active with open sources such as Github, StackOverlow, LeetCode
Experience in deep learning, neural network libraries
Experience with Recommendation systems
About The Team
Data Science & Search is a central technology team at Clarivate that develops best in class algorithmic services and search platforms for our products to enable differentiated capabilities. We take pride in innovating on behalf of our customers and delivering value to the business. Our scientists and engineers use Machine Learning, NLP, and Information Retrieval to solve problems along the entire Lifecycle of Innovation. From algorithms to classify content, to automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, and enabling unique ways of finding content, these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world.
Additional/Hours:
Work hours are standard US time zones with some flexibility to work around the global team.
Clarivate is an Equal Opportunity Employer Vets/Minorities/Women/Disabled | 2023-03-09 |
null | Senior Front-End Developer - $5,000 Sign-On Bonus | Munich Re | San Francisco, CA | null | null | About the job
As part of the Zeguro team, you will be working in a startup environment with a talented team based in the San Francisco bay area. You will be actively involved in creating new features for a product geared towards about a million of our small business customers. This is a great opportunity to help secure small businesses, while learning about cybersecurity – a much sought after domain.
You will be part of the Global Innovation Group, interacting with product strategy, product management, and software engineering teams, and will actively be involved in strategy and roadmap conversations.
Zeguro's culture is one that strongly values transparency, diversity, creativity and ambition. Be part of this outstanding team and help us empower every business to withstand the digital unknown.
This position is responsible for:
Delivery of new technical features for a unique cybersecurity SaaS solution designed for our small business customers.
The design, implementation (write high quality and secure code), and test application software.
Troubleshooting, debugging, maintaining and improving existing software.
Working closely with the team to scope engineering requirements for a particular feature.
Continuously helping to improve our engineering culture, including practices and processes.
Education and Experience:
Bachelor's degree in computer science, or equivalent work experience
5+ years of experience in software engineering
Experience writing code in JavaScript/Typescript, HTML5, CSS3 or related application.
Experience with front end technologies and frameworks, preferably with React
Knowledge and Skills:
Computer science fundamentals and strong problem solving and analytical skills.
Deep interest in building pleasurable, reliable and functional user experiences. Cares about the little details that are not easily noticeable.
Understanding of agile software development lifecycle and devops principles.
API design and development experience. Node JS experience desired.
Required strong verbal and written communication skills, including the ability to communicate and explain technical decisions made.
Ability to write unit tests. Ideally has experience working with some testing frameworks such as Mocha, Jest, etc.
Experience with building and architecting microservices.
Understanding of SaaS (Software as a Service) product architectures, AWS/Azure/Google Cloud Stack, cloud security and networking.
The base salary range anticipated for this position is $142,400 to $208,800, plus opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
The salary estimate displayed represents the typical salary range for candidates hired in this position in California. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.
At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Hartford Steam Boiler Inspection and Insurance Company (HSB), a part of Munich Re since 2009, provides equipment breakdown and other specialty coverages, inspection services and engineering consulting that set the standard for excellence worldwide. One of the world’s leading equipment breakdown insurers, HSB helps clients reduce risk through a unique combination of specialty coverages, engineering-based risk management strategies and loss prevention services. A.M. Best Company awarded the HSB Group of companies its highest financial rating, A++ (Superior). We look ahead, anticipate risk and leverage our knowledge and experience to develop new solutions to help our clients meet tomorrow's challenges. To see the future we see check out our LinkedIn page: http://www.linkedin.com/company/hsb | 2023-03-09 |
null | Soil Data Scientist | SR2 | Socially Responsible Recruitment | Certified B Corporation™ | Boulder, CO | null | null | About the job
Soil Data Scientist| Fully Remote | Carbon Capture Scale-Up
Do you have a passion for how Data Science & ML can be leveraged as a force for environmental good? Fancy joining a true tech for good trailblazer? Well read on! We’re hugely excited to be working with one of our most valued clients, with recent funding to the tune of $20m, you’ll be joining at a truly pivotal time in their journey.
You will be joining a talented group of Data Scientists, in a role which will see you contribute to the development of the groups data driven platform which essentially quantifies and qualifies the level of carbon stocks in agricultural soils. 🌎
The Data Science arm forms the true underpinnings of the technical platform, with an ever-increasing dependence on reliable actionable Data Science insights, you, and your team's work will be immensely valued.
Ideally, you’ll come from an agri-tech start-up/scale-up environment and will have been part of a group where Data Science models are pivotal to your current tech platform. We're ideally looking for someone who has had exposure commercial experience of working with rangeland ecosystems.
Your responsibilities:
· Developing and testing novel and innovative techniques for measuring specific soil properties.
· Effectively codify your findings into features for the groups core modelling/ product offering.
Working closely with Software Engineers who will productionize your models.
· Relay your findings to the engineering team and the groups customers.
· Imparting your extensive soil knowledge with the wider Data Science & Software Engineering team. Working closely with the software engineering team to put your models into production.
What we’re looking for:
PhD or MS in agroecology, biogeochemistry, soil/ crop science or a related field.
Demonstrated experience working with soil properties.
Experience working with Remote sensing data.
Interested? Great! Please apply with an up-to-date resume or reach out to Mike at SR2. | 2023-03-09 |
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