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.

POSITION SUMMARY

As a Sr. Data Scientist - Healthcare Journey Analytics, you will work cross-functionally with other Data Scientists, Data Engineers, IT, Clinical, Product, Design, Marketing, and more, to analyze, develop, and optimize, condition specific healthcare journeys for health plan members. A strong understanding of health insurance claims data is required. This role will build and utilize algorithms to identify clincial conditions (or risk of clincial conditions), evaluate intervention opportunities and approach, to develop member facing campaigns to help members better understand their condition journey and to make informed decisions. The solution you will help build will help members understand where they are on their jounrey, what might be next, and what options they should consider.

REQUIRED QUALIFICATIONS

• 3+ years of relevant healthcare analytics work experience
• Experience with health insurance claims data analytics
• Strong knoweldge of SQL
• Strong knoweldge of Python and/or R
• Demonstrated experience working in cross-functional teams / workgroups

PREFERRED QUALIFICATIONS

• Healthcare journey analytics experience
• Healthcare campaings/intervention development and optimization experience
• Adept at problem solving and decision making
• Adept at collaboration and teamwork
• Adept at verbal and written communication
• Adept at execution and delivery (planning, delivering, and supporting)

EDUCATION

• Masters degree in Data Science, Advanced Analytics, Population Health Analytics, Mathematics, Statistics, Economics, Physics, Engineering, or related discipline
• Equivalent combination of education and experience may be considered

Please refer the Job description for details