Principal Data Scientist, Drug Forecasting

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Principal Data Scientist, Drug Forecasting

 

Position Summary

 

CVS Health's Analytics and Behavioral Change department maintains industry-leading analytical solutions to power enterprise value through automation and innovation. This position will be reporting to the Associate Vice President of Caremark Analytics.

The Principal Data Scientist will leverage their technical and product management expertise to drive our AI innovation to revolutionize the way CVS forecasts drug utilization. An ideal candidate within this role will be required to lead, train, and develop a team of data scientists who will be responsible for maintaining current processes as well as fostering innovative solutions.

This person will collaborate with business leaders and partners to help inform strategy development, prioritization of analytic efforts, and formulation of specific workplans and projects to execute across the retail pharmacy chain. This individual must be able to effectively influence and communicate with non-technical audience using facts and well-reasoned cases.

 

Description/Fundamental Components:

· Develops complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes

· Performs analyses of structured and unstructured data to solve multiple and complex business problems

· Utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry

· Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques

· Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing

· Behaves as mentor to junior team members to provide technical advice

· Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools

· Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions

 

Required Qualifications:

· 10+ years of relevant analytic experience

· Experience programming using R or Python

· Experience in SAS or SQL

Preferred Qualifications:

· Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas

· Strong skills to effectively communicate and negotiate across business and in the external health care environment

· Excellent analytical and problem-solving skills

· Strong organizational, management and leadership skills

· Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

· Solid understanding of health care industry, products, and systems

· Demonstrates a strong ability to communicate technical concepts and implications to business partners

 

Education:

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.

 

Master’s degree or PhD preferred

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

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