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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 |
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Intended Use
This dataset is released under the BigScience OpenRAIL-M license.
It is provided strictly for research and educational purposes.
Any form of commercial use, redistribution, or use for profit-oriented applications is prohibited.
Source Code & Contributions
The dataset was generated using a custom Python + Selenium scraper. If you'd like to run the scraper under your own LinkedIn account, you can find the source on Github: 🔗 scrape-linkedin-ds-jobs. The repo is actively maintained to keep the scraper working with LinkedIn’s changes. Contributions are always welcome!
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