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Senior Data Scientist - PBM Analytics - CVS Health
Data Scientist
Senior Data Scientist leading advanced analytics for pharmacy benefit management, building predictive models and dashboards to improve member experience and service quality using Python, SQL, machine learning, and cloud platforms.
About the role
Key Responsibilities
- Design, develop, and deploy predictive and prescriptive models to enhance PBM member experience and operational efficiency.
- Analyze large-scale pharmacy claims, utilization, and member behavior data to uncover actionable insights.
- Collaborate with cross‑functional product, engineering, and business teams to translate analytical findings into scalable solutions.
- Build interactive visualizations and dashboards for stakeholders to monitor key performance indicators.
- Implement and maintain data pipelines and model serving infrastructure on cloud platforms (e.g., AWS).
Requirements
- Advanced degree (MS/PhD) in Data Science, Statistics, Computer Science, or related field with 5+ years of professional experience.
- Proficiency in Python (pandas, scikit‑learn, PySpark) and SQL for data manipulation and analysis.
- Strong background in machine learning, statistical modeling, and experimental design.
- Experience building data visualizations using tools such as Tableau, Power BI, or Plotly.
- Hands‑on experience with cloud services (AWS S3, EC2, SageMaker, Redshift) and deploying models in production.
Skills
pythonsqlmachine learningaws