HCSC

Sr Data Scientist

IL - Chicago
Full-time
$92,700.00 - $167,500.00
Posted Nov 4, 2026

Skills

Data Analysis
Data Visualization
Machine Learning
Large Language Models
Python

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job Summary

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.

Required Job Qualifications:

•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.

Preferred Job Qualifications:

•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)

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards .

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.

Flex employees are expected to be in the office a minimum of three days a week. Management will have discretion to modify an employee's weekly schedule for exigent circumstances.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. We are a drug-free and smoke-free workplace. Employment may be contingent upon successful completion of drug screening in accordance with applicable law.

Base Pay Range

$92,700.00 - $167,500.00

Exact compensation may vary based on skills, experience, and location.