Senior Data Scientist - PBM Analytics

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.

Position Summary

The Senior Data Scientist within CVS Health is on the front line of driving innovation, directly impacting business decisions. This role is part of a team that works across the Pharmacy Benefits Management ecosystem building analytical cloud-based platforms, supporting pharmaceutical forecasting and pricing. You will have a chance to modernize legacy systems using cutting edge technology. You will work with teammates from our business groups, product management, data engineering, and application development, as well as with your peers from partner data science groups. This role will create analytics products that are a combination of software, data, and other digital tools providing insights and recommendations to business leaders making tactical and strategic decisions. The analytics products may leverage a combination of descriptive, predictive, and prescriptive analytics approaches. 

Responsibilities:

• Identify opportunities to improve rebate and drug utilization forecasts and modernize a financial change order application with data science model-based solutions.
• Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Develop complex algorithms and statistical predictive models.
• Extract qualitative and quantitative relationships (i.e., patterns, trends) from large amounts of data using statistical and data mining tools.
• Work alongside the data engineering team to assess data quality, clean and organize data, optimize data flow and organization of code, productionize and scale models.
• Apply analytical rigor and statistical methods to analyze large amounts of data using advanced statistical techniques.
• Develop an advanced understanding of current pharmacy benefits management systems, stakeholders, work products, and identify opportunities for enhancements and support of new initiatives.

Required Qualifications

• 3 or more years of relevant analytic experience
• 3 or more years of experience programming using R, Python, SQL
• 3 or more years of experience with dimension reduction, machine learning, and statistical algorithms

Preferred Qualifications

• Advanced knowledge level for SQL
• 3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems using python libraries such as scikit-learn, ml-lib, xgboost, keras etc.
• 3+ years’ experience with general linear models, including regression techniques, ensemble models, etc.
• 3+ years of experience coding in Python, including PySpark, pandas
• Experience with time series forecasting and causal modeling techniques
• Knowledge of full model development life cycle including EDA, feature engineering, data visualization, model development and deployment, forecast accuracy, model monitoring, model drift 
• Experience with pharmaceutical or other healthcare domain with large administrative claims datasets including their associated code sets, terminologies, and ontologies

Education

• Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Operation Research, Statistics, Health Policy, or related field
• Preferred: Master’s Degree in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagu