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.
Key Responsibilities
- Build and facilitate machine learning and Generative AI solutions across large-scale systems and campaigns, ensuring deployment and updates in collaboration with data engineering.
- Develop and participate in presentations and consultations to existing and prospective stakeholders on analytics results and solutions.
- Collaborate with internal and external peers and managers to exchange complex information related to areas of specialization.
Required Qualifications
- Experience in building end-to-end machine learning models and data-intensive systems in production (2 or more years or PhD with a tech internship as MLE/Software Developer).
- Strong background in Data Science with a focus on software development best practices (2 or more years or PhD with a tech internship as MLE/Software Developer).
- Proficiency in Python, SQL, and MLOps (3 or more years or PhD with a tech internship as MLE/Software Developer).
- Experience in cloud environments (3 or more years as MLE/Software Developer).
Preferred Qualifications
- Demonstrated ability to design and build distributed data-intensive products; front-end development and coding in React is a plus.
- Experience with Google Cloud Platform (GCP) (2 or more years) is a major plus.
- Familiarity with Generative AI and agentic design is a plus.
- Proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling, with in-depth specialization in certain areas.
- Experience in Ad-tech is a plus.
Education
- Master’s degree in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering, or a related discipline, with 2 or more years of progressively complex related experience (or PhD with a tech internship as MLE/Software Developer).
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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- At least 2 years of experience building end-to-end machine learning models and data-intensive systems in production, or a PhD with a technical internship as a machine learning engineer or software developer.
- At least 2 years of experience in data science with a focus on software development best practices, or a PhD with a technical internship as a machine learning engineer or software developer.
- At least 3 years of proficiency in Python, SQL, and MLOps, or a PhD with a technical internship as a machine learning engineer or software developer.
- At least 3 years of experience in cloud environments as a machine learning engineer or software developer.
- Master's degree in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering, or a related discipline, with at least 2 years of progressively complex related experience; alternatively, a PhD with a technical internship as a machine learning engineer or software developer.
- Experience designing and building distributed data-intensive products.
- Front-end development and React coding experience.
- At least 2 years of experience with Google Cloud Platform.
- Familiarity with Generative AI and agentic design.
- Proficiency in mathematical analysis, machine learning, statistical analysis, and predictive modeling, with specialization in relevant areas.
- Experience in ad-tech.
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
-
Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
-
Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
-
Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
