Sr. Data Scientist - Healthcare Journey Analytics

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

Anticipated Weekly Hours

40

Time Type

Full time

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great Benefits For Great People

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 05/16/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.