Health Care Service Corporation Logo

Health Care Service Corporation

Sr Data Scientist

Posted Yesterday
Be an Early Applicant
In-Office
Chicago, IL, USA
93K-168K Annually
Senior level
In-Office
Chicago, IL, USA
93K-168K Annually
Senior level
Uses advanced mathematical and statistical methods, machine learning, and probabilistic modeling to solve business problems. Collects, integrates, and analyzes healthcare and business data; validates trends; develops and evaluates predictive algorithms; conducts experiments; and creates visualizations and analytical applications. The role also involves designing, deploying, and evaluating generative AI and agentic AI solutions, including LLM applications, retrieval, tool use, orchestration, observability, and human review.
The summary above was generated by AI

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.

HQ

Health Care Service Corporation Chicago, Illinois, USA Office

300 E Randolph St, Chicago, IL, United States, 60601

Health Care Service Corporation Downers Grove, Illinois, USA Office

Downers Grove, United States, 0

Health Care Service Corporation Naperville, Illinois, USA Office

Naperville, United States, 0

Similar Jobs

2 Days Ago
Hybrid
Chicago, IL, USA
Senior level
Senior level
Financial Services
Develop product analytics and data science solutions for small-business insurance and banking products. Apply statistical analysis, predictive modeling, experimentation, AI, and customer journey analytics to improve product performance, engagement, lead generation, and client outcomes. Establish KPI and measurement frameworks, analyze data using Python and SQL, communicate insights to senior stakeholders, and identify scalable AI and agentic use cases in a regulated environment.
Top Skills: Adobe AnalyticsAIPythonSigmaSQLTableau
7 Days Ago
Hybrid
Chicago, IL, USA
130K-190K Annually
Senior level
130K-190K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Develop and validate clinical heuristics and algorithms using real-world healthcare data. Build Python profiling pipelines, automated data-quality checks, and longitudinal patient cohorts. Analyze complex clinical databases and ETL pipelines, evaluate AI, NLP, and heuristic outputs, and collaborate with clinical, labeling, engineering, and data science teams. Maintain documentation, configuration, metrics, and validation standards for transparent, high-quality clinical analytics.
Top Skills: Clinical Data ModelsElectronic Health Records (Ehr)ETLMatplotlibPlotlyPythonRelational DatabasesSeabornSQLTableauYaml
10 Days Ago
Hybrid
Chicago, IL, USA
100K-175K Annually
Senior level
100K-175K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Leads health economics and outcomes research and real-world evidence projects for pharmaceutical, biotech, academic, and other partners. Designs and analyzes pharmacoepidemiologic studies, treatment patterns, healthcare utilization, causal inference, and survival analyses. Builds reusable analytical infrastructure, collaborates with scientists, engineers, and product teams, interprets results for stakeholders, supports publications and regulatory work, and ensures compliance with data governance and applicable regulations.
Top Skills: GitRSQL

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account