Data Scientist - Pharmacy Benefits
Analytics
Artificial Intelligence
Business Intelligence
Data
Data Analysis
Data Analytics
Data Pipeline
Data Platform
Data Processing
Data Science
Data Scientist
Data Visualization
Database
Databases
Digital Marketing
GCP
Generative AI
Healthcare
Large Language Models
Machine Learning
Pharmacy
Reporting and Analytics
Software Development
SQL
Job Description
Build and deploy advanced analytics and predictive solutions for Caremark’s PBM member experience within CVS Health’s Analytics & Behavior Change (PBM Analytics) team.
Responsibilities
- Collaborate with clinical and operational experts to break down complex workflows, uncover bottlenecks, and convert requirements into technical implementations
- Design, build, and validate data science solutions including generative AI pipelines, predictive models, and rules-based logic
- Own end-to-end delivery: data extraction, modeling, production deployment, and lifecycle monitoring (testing, performance dashboards, alert thresholds)
- Extract, curate, and analyze large-scale operational data using SQL and Python
- Communicate modeling results through clear, business-focused narratives and presentations for clinical and business leadership
Requirements
- 1+ years of professional experience writing production-grade Python and querying complex datasets with 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 development
- Experience delivering presentations, reports, or business reviews to cross-functional stakeholders
Technologies
- Python
- SQL
- Git
- GitHub
- Generative AI
- LLM-based solutions
- Google Cloud Platform (GCP)
Preferred qualifications
- Initiative: Independently investigate ambiguous problems, interview process owners, and structure solutions without waiting for defined specifications
- Stakeholder communication: Translate complex data science concepts into clear business risks and opportunities for non-technical partners
- ML model and generative AI: Practical experience with ML or LLM-based solutions (examples include prompt design, RAG architectures, and model evaluation frameworks)
- Production monitoring: Experience setting model performance guardrails such as drift detection, monitoring, and alerting
- Domain experience: Familiarity with healthcare data (examples include pharmacy claims, clinical workflows, or unstructured clinical notes)
- Cloud and tools: Familiarity with GCP or similar enterprise cloud environments and AI-assisted software development tools
Education
- Master’s degree in a quantitative field or MBA strongly preferred
- Bachelor’s degree or equivalent work experience in Computer Science, Statistics, Mathematics, Analytics, Engineering, or a related field
Work details
- Location: New York, NY (onsite)
- Anticipated weekly hours: 40
- Time type: Full time
Compensation
- Base pay range: USD 79,310 - 173,040 per year
- This pay range represents the base hourly rate or base annual full-time salary for positions in the job grade
- Actual base salary offer depends on factors including experience, education, geography, and other relevant considerations
- Eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Comprehensive benefits package to support physical, emotional, and financial well-being of colleagues and their families
Similar Jobs
