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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MCR Stars Business Analytics - Lead Data Scientist - **Company:** CVS Health - **Location:** Moon Township, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $118,450.0 - $236,900.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, C++ (Programming Language), Code Generation, Computer Programming, D3.Js, Dataspaces, Data Visualization, R (Programming Language), JSON, Python (Programming Language), Machine Learning, NoSQL, Role-Based Access Control, Power BI, Standard Sql, Runbook, SAS (Software), SQL Databases, Tableau (Software), Unstructured Data, Parquet, Data Storage Management, Large Language Models, Snowflake, Semi-structured Data, Information Technology, Data Pipelines - **Published:** June 28, 2026 - **Apply:** https://www.juju.com/job/00000000gc0mn4 ## About the Role Data Scientists must possess a diverse set of skills to excel in their roles. These include: Technical Skills + Statistical Analysis: Proficiency in statistical methods and software, such as R, SAS, and Python, to analyze data. + Data Visualization: Ability to create compelling visualizations using tools like Tableau, Power BI, and D3.js. + Database Management: Knowledge of SQL and NoSQL databases for efficient data storage and retrieval. + Programming: Strong programming skills, particularly in languages such as Python, Java, and C++., + Critical Thinking: Ability to think critically and approach problems from multiple perspectives. + Quantitative Analysis: Strong quantitative skills to interpret and manipulate data effectively. + Attention to Detail: Meticulous attention to detail to ensure accuracy in data analysis and model development. Interpersonal Skills + Communication: Excellent verbal and written communication skills to convey complex findings to non-technical stakeholders. + Team Collaboration: Ability to work collaboratively with diverse teams to achieve common goals. + Leadership: Capability to lead projects and mentor junior team members. Education + Education: A bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Engineering. Advanced degrees (Master's or Ph.D.) in these fields are highly desirable. + Experience: Relevant experience in data analysis, machine learning, and business intelligence ## Description Aetna's Medicare Stars Team is growing and expanding! This is exciting opportunity to join a high performing, collaborative team as a Lead Data Scientist. This individual will focus on leveraging the Stars Data Ecosystem for Business Analytics for improved understanding of business patterns, predict future trends, and implement effective solutions to various challenges. This position will manage and be responsible for the successful delivery of scalable analytics solutions on Snowflake that combine structured and unstructured data, enable agentic document analytics at scale, and expose insights via natural language queries powered by LLMs (including OpenAI). Own end-to-end implementation: ingestion, unified data modeling, vectorization/embeddings, retrieval pipelines, Snowflake compute (Snowpark), and integration with LLM-driven applications. This role will be utilizing their expertise in statistical analysis, machine learning, and data visualization to analyze complex data sets, then derive actionable insights that inform business strategies and decisions. By leveraging data, they help the Stars organization understand patterns, predict future trends, and implement effective solutions to various challenges. Key Responsibilities + Design and implement unified data pipelines in Snowflake that combine structured tables, semi-structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). + Build agentic document analytics workflows: large-scale document ingestion, text extraction, cleaning, chunking, embeddings, vector stores, and efficient retrieval for analytic queries. + Implement Natural Language Query (NLQ) interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. + Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation-using External Functions, Snowpark, and/or secure API patterns. + Create performant retrieval-augmented generation (RAG) architectures that leverage Snowflake-stored embeddings and external or internal vector indexes as appropriate. + Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. + Implement data modeling and governance patterns within Snowflake: schemas, role-based access control, masking, lineage, and metadata to support analytics and compliance. + Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production-ready solutions. + Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. + Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non-technical stakeholders. This position is a telework role, and candidates must be eligible to work in the United States., + Design and implement unified data pipelines in Snowflake that combine structured tables, semi-structured data (JSON/Parquet), and large collections of documents (PDF, DOCX, text). + Build agentic document analytics workflows: large-scale document ingestion, text extraction, cleaning, chunking, embeddings, vector stores, and efficient retrieval for analytic queries. + Implement Natural Language Query (NLQ) interfaces that translate user text prompts into analytic queries or retrieval flows and return explainable results. + Integrate Snowflake with LLMs (OpenAI or equivalent) for tasks such as summarization, question-answering, classification, and code-generation-using External Functions, Snowpark, and/or secure API patterns. + Create performant retrieval-augmented generation (RAG) architectures that leverage Snowflake-stored embeddings and external or internal vector indexes as appropriate. + Author Snowpark/Python/SQL transformations, Streams & Tasks, and job orchestration to enable near-real-time and batch analytical workloads. + Implement data modeling and governance patterns within Snowflake: schemas, role-based access control, masking, lineage, and metadata to support analytics and compliance. + Partner with product, ML/AI, BI, and engineering teams to translate business requirements into robust production-ready solutions. + Build monitoring, observability, and cost controls for compute, storage, and API usage related to document analytics and LLM integration. + Produce technical documentation, runbooks, and clear explanations of model/LLM behavior and limitations to non-technical stakeholders. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)