Job Description
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.
**Availability to work Tue, Wed, & Thu every other week (or more) in Chicago office highly preferred**
Pay Range
The typical pay range for this role is:
Minimum: $ 70,000
Maximum: $ 140,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications
Bachelor’s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or other related field with minimum of 3 years of professional experience; Master’s Degree with a minimum of 1 years of experience; or PhD with fellowship experience in:
- Extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders
- Preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering
- Communicating effectively and confidently with business partners, project team members, and senior management
- Working with data and have a strong understanding of analytics and how it is leveraged within the healthcare/retail industry
- 2+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems
- 2+ years’ experience with general linear models, including regression techniques, marketing mix models, etc.
- 2+ years of experience coding in Python or other modeling environments
- 1+ year experience with SQL
- 1+ year experience with statistical measurements including experimental design, test and control selection, propensity matching, etc.
Preferred Qualifications
- 2+ years’ experience coding in Python, and optimization packages such as Gurobi, CPLEX, etc.
- Prior experience developing & deploying advanced analytics models supporting Underwriting, Actuarial and Financial Optimization domains
- Experience with mathematical optimization in a financial services industry role would be highly ideal.
Education
- Bachelor’s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or other related field; or Advanced Degree
- Preferred: Master’s Degree or PhD in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field
Business Overview
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. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
