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Data Scientist - Stars HEDIS
Entry LevelHybrid
Location
New York City, NY
Salary
$87k–$173k/yr
Experience
Not specified
Posted
Today
Job Description
Data Scientist - Stars HEDIS
Location: NY - New York
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:
STARS Analytics and Behavior Change team is looking for a data scientist to expand the Stars Clinical HEDIS team. This person would work with a small and dynamic team to build innovative solutions that quantify and improve clinical gap closure. There will be hands-on technical projects along with the opportunity to pitch novel solutions to business stakeholders.
Description/Fundamental Components:
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
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 -2+ years of relevant analytic experience
Experience programming using R or Python
Strong Experience in SQL
Preferred Qualifications:
Demonstrates good written and verbal communication skills and a strong ability to communicate technical concepts and implications to business partners
Effectively resolves problems and roadblocks as they occur
Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Ability to work with large data sets from multiple data sources
Education:
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
Master's degree preferred
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$86,520.00 - $173,040.00
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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 06/28/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.