Data Scientist - PBM Pricing Optimization

$75,705 - $175,100/Yr

CVS Health - Chicago, IL

Full-time - Entry Level

Chicago, IL

Health and Personal Care Retailers

About the position

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand with heart at its center, our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. The Data Scientist role within CVS Health is on the front line of driving innovation and directly impacting business decisions. This role falls within the Finance Analytics team and will focus on building & deploying analytic models that help the PBM business meet its client and pharmacy financial guarantees. This team works on ML, forecasting, and optimization models (linear and mixed integer programming techniques) to optimize drug-level pricing tied to 95 million Americans. The models are designed to meet financial guarantees contracted by Caremark with its clients and pharmacy partners by optimizing drug prices while adhering to several regulatory and business constraints. The outcomes of these models (recommended drug prices) have delivered over $100M in value to Caremark.

Responsibilities

• Build and deploy analytic models to support PBM business financial guarantees.
• Optimize drug-level pricing using machine learning and optimization techniques.
• Work with data engineering teams to prepare datasets for analysis.
• Communicate insights and model outcomes to technical and non-technical stakeholders.
• Ensure compliance with regulatory and business constraints in model development.

Requirements

• Bachelor's Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field.
• 1-2+ years of professional experience in data analysis and model interpretation.
• 2+ years of experience applying modern machine learning techniques for predictive modeling.
• 2+ years of experience with general linear models and regression techniques.
• 1+ year experience with SQL and statistical measurements.

Nice-to-haves

• 3+ years' experience coding in Python and using optimization packages like Gurobi or CPLEX.
• Prior experience developing advanced analytics models in financial optimization domains.
• Experience with mathematical optimization in a financial services role.

Benefits

• Store discount
• Employee stock purchase plan
• Disability insurance
• Health insurance
• Dental insurance
• 401(k)
• Tuition reimbursement
• Paid time off
• Vision insurance
• Life insurance