Senior Data Scientist - AI

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
*** Independently solves complex problems and takes a new perspective on existing solutions
* Ability to structure predictive analysis to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
* Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics ;
Present recommendations to senior staff and clients
* Acts as an analytics product owner translating business needs into analytics projects and actions. Leads development of solutions with moderate complexity and risk
* Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
* Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
* Use strong programming skills to explore, examine and interpret large volumes of data in various forms
** Required Qualifications
*** 3+ years of analytic experience independently drive analysis and initiatives with track record of business impact
* 3+ years of data science experience, preferred in consulting experience
* Experience in SQL, Tableau
* Experience programming using Python / R
** Preferred Qualifications
*** Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources·
* Anticipates and prevents problems and roadblocks before they occur
* Demonstrates strong ability to communicate technical concepts and implications to business partners
* Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
** 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
** Anticipated Weekly Hours
** 40
* * Time Type
** Full time
** Pay Range
** The typical pay range for this role is:$ - $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

We anticipate the application window for this opening will close on: 02/22/2026

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