Data Scientist – Pharmacy Benefits

CVS Health Careers

. Drive the next level of PBM member experience and service quality .

Posted 11/11/2026full-timeNew York City • New York • United 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 PBM member experience and service quality. Proficient in translating complex data science concepts into actionable business solutions while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingSQL QueryingMachine Learning Model DeploymentAdvanced AnalyticsGenerative AI Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisData ExtractionData CurationAlgorithm DevelopmentPerformance Dashboard CreationTesting and ValidationProduction MonitoringModel Evaluation FrameworksData Science Solution Design

Soft Skills

Cross-Functional CollaborationPresentation SkillsProblem-Solving InitiativeCommunication of Complex Concepts

Tools & Technologies

Git/GitHubGoogle Cloud PlatformAI-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
Drive efficiency and growth in Caremark's PBM business using advanced analytics, predictive modeling, statistics, and generative AI
Partner with clinical and operational experts to unpack complex operational processes and identify bottlenecks
Translate business 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
Conduct testing, build performance dashboards, and establish 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
Collaborate with a squad of 10+ data scientists and engineers across ideation, deployment, and monitoring

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
Experience with advanced analytics, predictive modeling, statistics, and generative AI
Ability to partner with clinical and operational experts and translate requirements into technical solutions
Preferred: initiative in ambiguous problem-solving and independently structuring solutions
Preferred: ability to translate complex data science concepts for non-technical partners
Preferred: practical ML or LLM-based solution experience, including prompt design, RAG architectures, or model evaluation frameworks
Preferred: production monitoring experience, including drift detection, guardrails, and alerting systems
Preferred: familiarity with healthcare data such as pharmacy claims, clinical workflows, or unstructured clinical notes
Preferred: familiarity with Google Cloud Platform or similar enterprise cloud environments and AI-assisted software development tools