Data Scientist – Pharmacy Benefits

CVS Health

. Drive the next level of PBM member experience and service quality through advanced analytics, predictive modeling, statistics, and generative AI .

Posted 11/11/2026full-timeUnited StatesJunior💰 $79,310 - $173,040 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, predictive modeling, and generative AI to enhance member experience and service quality. Proficient in translating complex data insights into actionable business narratives while managing end-to-end data science solution delivery.

Highest-signal resume keywords

Python ProgrammingSQL QueryingMachine Learning Model DevelopmentData Science Solution DesignGoogle Cloud Platform Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingGenerative AIStatistical AnalysisAlgorithm DevelopmentData ExtractionData CurationData AnalysisPerformance Dashboard EstablishmentProduction DeploymentLifecycle Monitoring

Soft Skills

Cross-Functional CollaborationPresentation SkillsBusiness Communication

Tools & Technologies

GitGitHubAI-Assisted Software Development Tools

Industry Keywords

Healthcare DataPharmacy ClaimsClinical WorkflowsUnstructured Clinical Notes

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Drive the next level of PBM member experience and service quality through advanced analytics, predictive modeling, statistics, and generative AI
Partner with PBM leadership to drive innovation and develop cutting-edge solutions
Work with a squad of 10+ data scientists and engineers across the full lifecycle from ideation to deployment and monitoring
Partner with clinical and operational experts to understand complex operational processes, identify bottlenecks, and translate requirements into technical solutions
Design, build, and validate data science solutions, including Generative AI pipelines, predictive models, and rules-based logic
Manage end-to-end delivery from data extraction and modeling through production deployment and lifecycle monitoring
Establish testing, performance dashboards, and alert thresholds
Extract, curate, and analyze large-scale operational data using SQL and Python
Translate complex modeling outputs into clear, business-driven narratives and presentations for clinical and business leadership

Requirements

What you’ll need

1+ years of professional experience writing production-grade code in Python and querying complex datasets using SQL
1+ years of professional experience building, validating, and deploying machine learning models, statistical models, algorithmic solutions, or LLM-based solutions
Experience using Git/GitHub for version control and collaborative code development
Experience delivering presentations, reports, or business reviews to cross-functional stakeholders
Bachelor's degree or equivalent work experience in Computer Science, Statistics, Mathematics, Analytics, Engineering, or a related quantitative field
Master's degree in a quantitative field or MBA strongly preferred
Familiarity with Google Cloud Platform (GCP) or similar enterprise cloud environments, as well as AI-assisted software development tools
Familiarity with healthcare data is preferred, including pharmacy claims, clinical workflows, or unstructured clinical notes