Medicare Stars Senior Data Scientist - Work From Home

HCSC Group; Northern (KY); Remote; USD 93,000 - 168,000; Full time

Job summary

HCSC is seeking a Senior Data Scientist for Medicare Stars, a fully remote role based in the United States. The position applies advanced statistics, machine learning, and predictive modeling to improve star ratings, member outcomes, and affordability.

Collaboration with clinical, product, and operations teams is essential. The ideal candidate has a quantitative degree with several years of experience and proficiency in SAS, R, Python or Dataiku, plus strong communication skills to translate

Qualifications

• Bachelor’s or higher in a quantitative field with 3+ years of relevant work experience.
• Strong communication and collaboration skills.
• Experience with SAS, R, Python or Dataiku is preferred.

Responsibilities

• Provide advanced statistical methods to solve Medicare Stars problems.
• Analyze data from claims, outcomes, and provider performance to identify improvement opportunities.
• Develop predictive models and validate them with real-world results.

Skills

Data analysis

Machine learning

Data visualization

Programming

Distributed computing

Healthcare understanding

Education

Bachelor’s degree

Master’s degree

Ph.D.

Actuarial credential

Tools

SAS

R

Python

Dataiku

Job description

## Medicare Stars Senior Data Scientist - Work From HomeApply: Remote: National Remote: Full time: Posted Today: End Date: October 14, 2026 (6 days left to apply): R0055964At 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 providing advanced mathematical and statistical methods to solve complex business problems with minimal direction while supporting the analytics strategy for HCSC’s Medicare Stars program. Senior Data Scientists collect, integrate, and analyze data from healthcare claims, clinical outcomes, quality measures, provider performance, member outcomes, and internal business processes to identify opportunities to improve Medicare Star Ratings. The role performs complex statistical analysis to validate and quantify trends, adapts machine learning, predictive modeling, and probabilistic methods to develop predictive algorithms, and verifies model effectiveness based on real-world results. Senior Data Scientists design experiments and methodologies, create visualizations and analytical applications, and translate findings into actionable recommendations that support critical business decisions, program enhancements, and new quality improvement initiatives. Working closely with clinical, pharmacy, customer experience, product, and operations teams, this individual will represent the data science perspective on cross-functional teams, contribute to consequential decisions, and help drive innovative solutions that improve member outcomes, Stars performance, affordability, and enterprise value.### **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.* Experience with diverse healthcare data preferred, including claims, EHR, demographic, pharmacy, lab, biometrics, genomics, and text.* Experience with statistical software program such as SAS, Dataiku, R and/or Python is required.• Statistical and/or data mining experience in propensity score modeling, multivariate regression, machine learning* Comprehension of healthcare data (e.g., claims, utilization, provider information) and demonstrated understanding of health care and delivery system processes. **Location:** This is a fully remote position based in the US only.**Sponsorship is not available** #LI-Remote#LI-JR2#INAK### **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.This position may be performed remotely from anywhere within the continental United States, **excluding California, New York, Alaska, and Hawaii**.## 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