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JONSEANA
/
capstone-ml-embedding

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:809
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use JONSEANA/capstone-ml-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use JONSEANA/capstone-ml-embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("JONSEANA/capstone-ml-embedding")
    
    sentences = [
        "Senior Data Analyst Pricing, B2B B2C Pricing Strategies, A/B Testing Analysis",
        "Qualifications\n Data Engineering, Data Modeling, and ETL (Extract Transform Load) skillsData Warehousing and Data Analytics skillsExperience with data-related tools and technologiesStrong problem-solving and analytical skillsExcellent written and verbal communication skillsAbility to work independently and remotelyExperience with cloud platforms (e.g., AWS, Azure) is a plusBachelor's degree in Computer Science, Information Systems, or related field",
        "Skills You BringBachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 6+ years of experienceInformatica Power CenterGood experience with ETL technologiesSnaplogicStrong SQLProven data analysis skillsStrong data modeling skills doing either Dimensional or Data Vault modelsBasic AWS Experience Proven ability to deal with ambiguity and work in fast paced environmentExcellent interpersonal and communication skillsExcellent collaboration skills to work with multiple teams in the organization",
        "experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at www.paysafe.com.\n\nAre you ready to make an impact? Join our team that is inspired by a unified vision and propelled by passion.\n\nPosition Summary\n\nWe are looking for a dynamic and flexible, Senior Data Analyst, Pricing to support our global Sales and Product organizations with strategic planning, analysis, and commercial pricing efforts . As a Senior Data Analyst , you will be at the frontier of building our Pricing function to drive growth through data and AI-enabled capabilities. This opportunity is high visibility for someone hungry to drive the upward trajectory of our business and be able to contribute to their efforts in the role in our success.\n\nYou will partner with Product Managers to understand their commercial needs, then prioritize and work with a cross-functional team to deliver pricing strategies and analytics-based solutions to solve and execute them. Business outcomes will include sustainable growth in both revenues and gross profit.\n\nThis role is based in Jacksonville, Florida and offers a flexible hybrid work environment with 3 days in the office and 2 days working remote during the work week.\n\nResponsibilities\n\n Build data products that power the automation and effectiveness of our pricing function, driving better quality revenues from merchants and consumers.  Partner closely with pricing stakeholders (e.g., Product, Sales, Marketing) to turn raw data into actionable insights. Help ask the right questions and find the answers.  Dive into complex pricing and behavioral data sets, spot trends and make interpretations.  Utilize modelling and data-mining skills to find new insights and opportunities.  Turn findings into plans for new data products or visions for new merchant features.  Partner across merchant Product, Sales, Marketing, Development and Finance to build alignment, engagement and excitement for new products, features and initiatives.  Ensure data quality and integrity by following and enforcing data governance policies, including alignment on data language. \n\n  Qualifications  \n\n Bachelor’s degree in a related field of study (Computer Science, Statistics, Mathematics, Engineering, etc.) required.  5+ years of experience of in-depth data analysis role, required; preferably in pricing context with B2B & B2C in a digital environment.  Proven ability to visualize data intuitively, cleanly and clearly in order to make important insights simplified.  Experience across large and complex datasets, including customer behavior, and transactional data.  Advanced in SQL and in Python, preferred.  Experience structuring and analyzing A/B tests, elasticities and interdependencies, preferred.  Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. \n\n Life at Paysafe: \n\nOne network. One partnership. At Paysafe, this is not only our business model; this is our mindset when it comes to our team. Being a part of Paysafe means you’ll be one of over 3,200 members of a world-class team that drives our business to new heights every day and where we are committed to your personal and professional growth.\n\nOur culture values humility, high trust & autonomy, a desire for excellence and meeting commitments, strong team cohesion, a sense of urgency, a desire to learn, pragmatically pushing boundaries, and accomplishing goals that have a direct business impact.\n\n \n\nPaysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type concerning ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments, please let us know. We will be happy to help and look forward to hearing from you."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle

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  • 1_Pooling
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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    xet
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  • modules.json
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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