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Senior Data Scientist – Utilization Management
CVS HealthSenior Data Scientist developing analytics data and technology platforms at CVS Health. Collaborating with teams to deliver analytics solutions to transform healthcare management.
Posted 6/26/2026full-timeWellesley • Massachusetts, New York • 🇺🇸 United StatesSenior💰 $101,970 - $222,480 per yearWebsite
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
RPythonSQLadvanced statistical techniquesmathematical analysesdata analysisanalytics product developmentstructured data analysisunstructured data analysisdata interpretation
Soft Skills
collaborationleadershipcommunicationpresentation skillsconsultationproblem-solvinganalytical thinkingorganizational skillsinterpersonal skillsbusiness acumen
Industry Keywords
analyticsdata sciencehealth carebusiness prioritiesdata-driven decision makingend to end analytical productsdata explorationbusiness analyticsMathematicsStatistics
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- build industry-leading analytics, data, and technology platforms to help reimagine health care
- Collaborates with business partners to shape the analytics approach to address business priorities
- Owns and manages an analytics workstream, leading other analysts and data scientists to build end to end analytical products
- Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses
- Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
- Uses strong programming skills to explore, examine and interpret large volumes of data
Requirements
What you’ll need- 3+ years of relevant analytic experience
- Experience programming using R or Python
- Experience in SQL
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master’s degree or PhD preferred
Benefits
Comp & perks- medical, dental, and vision coverage
- paid time off
- retirement savings options
- wellness programs
- comprehensive benefits package designed to support physical, emotional, and financial well-being