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# Sr Data Scientist

- **Company:** HCSC, L.P.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $92,700.0 - $167,500.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Data Analysis, Business Software, Data Visualization, Query Languages, Software Design Patterns, Distributed Systems, Machine Learning, Web Application Frameworks, Microsoft Agent Framework, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Model Context Protocol, Human in the Loop, Databricks, Programming Languages
- **Published:** November 6, 2026
- **Apply:** https://dejobs.org/x/x/5C324301519941148FDADF3DC610C582/job/

## About the Role

* Bachelor's degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master's degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 7 years experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
 * Strong learning and growth mindset
 * Customer focus
 * Strong interpersonal, verbal and written communication skills.
 * Proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare., * Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.
 * Familiarity with GenAI evaluation and LLM observability (OpenTelemetry, MLflow Tracing, Arize, or comparable).
 * Experience deploying GenAI/agentic AI to production in the cloud (Microsoft Foundry, Databricks Agent Bricks, or comparable).
 * Understanding of agent architectures, including Model Context Protocol (MCP), agent harnesses, and single- and multi-agent design patterns, with attention to secure tool integration, guardrails, human-in-the-loop controls, and agent tracing.
 * Experience with enterprise AI platforms (Databricks, Microsoft Foundry, or comparable) and Python frameworks for LLM applications.
 * Ability to explain and evaluate trade-offs among accuracy, reliability, latency, cost, security, portability, and implementation complexity for technical and non-technical stakeholders.
 * Experience using AI-assisted development tools while independently validating, testing, and documenting the resulting code or solution.
 * Hands-on experience designing, building, or evaluating solutions using LLMs, including prompt engineering, RAG, embeddings, structured outputs, or agentic workflows.
 * Experience developing agentic AI solutions that use tools, retrieval, and multi-step workflows, with orchestration frameworks such as LangChain, LangGraph, Microsoft Agent Framework, or comparable.
 * Ability to describe specific GenAI/agentic AI solutions developed or contributed to: business problem, individual contribution, evaluation approach, and results.
 * Experience evaluating GenAI outputs using labeled datasets, automated evaluation measures, and human review, including identifying failure modes (hallucination, inaccurate retrieval, unsuccessful tool use)

## Description

This Position Is Responsible For Using Advanced Mathematical And Statistical Methods To Solve Business Problems, Under Direction From More Senior Staff. Associate Data Scientists Collect, Integrate And Analyze Data From Sources Related To Health Status And Outcomes For Our Members, Characteristics Of Health Care Providers, Internal Business Processes, And Other Domains. Associate Data Scientists Perform Statistical Analysis On Experimental Or Business Data To Validate And Quantify Trends Or Patterns Identified By Business Analysts. Associate Data Scientists Use Machine Learning And Probabilistic Modeling To Construct Predictive Algorithms To Support Data Analysis Or Product Functions. They Verify Model And Algorithm Effectiveness Based On Real-World Results. Associate Data Scientists Conduct Experiments To Generate And Collect Data For Business Use. Associate Data Scientists Create Visualizations, Interactive Analytical Applications And Interpretive Artifacts To Support Business Application
Of Data Science Findings.