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- Applies Generative AI to optimize business operations
- 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 -2+ years of relevant analytic experience
- Experience programming using R or Python
- 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
- Experience working in at least 1 cloud environment
EducationBachelor'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 Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$72,100.00 - $144,200.00
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 peopleWe 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 ;br>
We anticipate the application window for this opening will close on: 01/15/2026
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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