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# Lead Data Scientist

- **Company:** HCSC, L.P.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $112,200.0 - $202,600.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Visualization, Query Languages, Distributed Systems, Machine Learning, Unstructured Data, Information Technology, Programming Languages
- **Published:** October 9, 2026
- **Apply:** https://dejobs.org/x/x/A48F9906C4F8483B833B8EF5BA2CCAFB/job/

## About the Role

Required Job Qualifications: * Bachelor's degree and 5 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 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 9 years of work 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 five of the following six areas, and demonstrated mastery in at least one: 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. * A track record of independently delivering or leading the delivery of a complex analytics or data science project. * A track record of mentoring, managing, or leading junior analytics or data science staff.

Preferred Job Qualifications: * Masters or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.

## Description

This position is responsible for providing advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems; performing complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts; constructing predictive models, algorithms and probability engines to support data analysis or product functions; verifying model and algorithm effectiveness based on real-world results; designing experiments and methodologies to generate and collect data for business use. Responsible for aiding tactical decision making by using predictive and prescriptive remodeling; and extracting actionable insights by identifying patterns in structured and unstructured data.