Senior Data Scientist - PBM Analytics

CVS Health

CVS Health is dedicated to transforming healthcare delivery with a heart-centered approach. As a Senior Data Scientist, you will join a team that collaborates across the Pharma Benefit Management ecosystem to develop cutting-edge analytical platforms. This role offers the opportunity to modernize legacy systems and create analytical products that combine software, data, and digital tools, ultimately guiding business leaders in making informed decisions.

In this role you can expect to have the responsibilities:

• Identify opportunities to enhance rebate and drug utilization forecasts using data science solutions.
• Evaluate scenarios and potential future outcomes through analytical approaches and modeling techniques.
• Develop complex algorithms and statistical predictive models.
• Analyze large datasets to extract patterns and trends using data mining tools.
• Collaborate with the data engineering team to optimize data flow and model productionization.
• Apply statistical methods rigorously to analyze extensive datasets.
• Enhance understanding of current pharmacy benefits management systems and identify opportunities for new initiatives.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision benefits
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Life insurance plan
• Short-term and long-term disability benefits
• Numerous well-being programs and education assistance
• Free development courses
• CVS store discounts
• Paid Time Off (PTO) and holiday pay

This role requires you to have:

• 3 or more years of experience in analytics
• Proficiency in R, Python, SQL
• Experience in machine learning and statistical algorithms

You would benefit from having:

• Advanced SQL knowledge
• Experience in modern machine learning using Python libraries
• Knowledge of general linear models and regression techniques
• Experience with time series forecasting and causal modeling
• Understanding of model development life cycle
• Knowledge of pharmaceutical or healthcare datasets

Qualified applicants with arrest or conviction records will be considered in line with applicable laws.