We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Position Summary
As a Data Scientist – Transition Care Education, you will be managing the full campaign portfolio, that includes ideation, sizing, and implementing member or provider engagement strategies to reduce readmissions after health events. This role applies machine learning, statistics, and decision intelligence to deliver practical insights and measurable results. Daily tasks involve but are not limited to:
· Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
· Explores, examines and interprets large volumes of data in various forms
· Performs analyses of structured and unstructured data to solve moderately complex business problems
· Utilizing advanced statistical techniques and mathematical analyses
· Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
· Uses data visualization techniques to effectively communicate analytical results and support business decisions
· Creates and evaluates the data needs of assigned projects and assures the integrity of the data
· Explores existing data and recommends additional sources of data for improvements
· Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
Required Qualifications
- 1+ years of experience in advanced analytics, experiment design, applied AI/ML.
- Proficient programming skills in Python and SQL, with a focus on managing large and complex analytical projects from data exploration, model building, program evaluation and testing
- Communication & Storytelling: Strong ability to present complex data insights in a clear, compelling narrative for stakeholders. Demonstrate experience working in cross-functional teams/work groups
Preferred Qualifications
- Experience in designing and deploying data science solutions in member/consumer engagement environment.
- Knowledge of healthcare industry, understanding Medicaid, with a strong interest in improving outcomes through interventions/campaigns
Education
- Bachelor's degree 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
40Time Type
Full timePay Range
The typical pay range for this role is:
$86,520.00 - $173,040.00This 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: 02/16/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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