Job description

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 Generate insights, build machine learning, deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience. Deploy large scale machine learning and deep learning models in a production environment. Design and execute A/B testing, evaluate bias and develop strategies to minimize or account for experimentation bias. Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.) Perform data quality assessments, remediate or curate data as necessary, perform data modeling Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from billions of transactional records at the Retail Pharmacy. Prepare communication material such as presentations and reports, collaborate effectively with business, marketing, trade and other stakeholders across the organization. Mentor peers and lead intern projects. Required Qualifications 3+ years of hands-on experience in generating business insights, machine learning and deep learning frameworks Strong experience with deployment of machine learning and deep learning models in production Strong experience with cloud based ML frameworks (either AWS, Azure or GCP) Strong proficiency with Python and SQL, data quality assessment and data modeling Preferred Qualifications Experience working with Snowflake and Databricks 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: $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, visithttps://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 07/25/2025 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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