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 10/14/2026full-timeUnited StatesJunior💰 $79,310 - $173,040 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning models and predictive analytics solutions, with a strong ability to translate complex data insights into actionable business strategies. Proficient in Python and SQL for data extraction and analysis, with experience in cloud environments and healthcare data.

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

Machine LearningPredictive ModelingStatistical AnalysisData ExtractionData CurationGenerative AIAlgorithm DevelopmentModel EvaluationPerformance MonitoringData Visualization

Soft Skills

CollaborationPresentation SkillsProblem SolvingInitiativeCommunication

Tools & Technologies

GitGitHubAI-Assisted Software Development ToolsPerformance DashboardsAlerting Systems

Industry Keywords

Healthcare DataPharmacy ClaimsClinical WorkflowsUnstructured Clinical NotesOperational Processes

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
Collaborate 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 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
Initiative to independently investigate ambiguous problems, interview process owners, and structure solutions
Ability to translate complex data science concepts into clear business risks and opportunities for non-technical partners
Practical experience building ML solutions or LLM-based solutions, including prompt design, RAG architectures, or model evaluation frameworks
Experience establishing model performance guardrails, production monitoring, drift detection, and alerting systems
Familiarity with healthcare data, such as pharmacy claims, clinical workflows, or unstructured clinical notes
Familiarity with Google Cloud Platform or similar enterprise cloud environments
Familiarity with AI-assisted software development tools