AI/ML & Analytics Engineer

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.Role OverviewWe are seeking an experienced AI/ML & Analytics Engineer to design and implement advanced machine learning and AI solutions while leveraging data analytics to drive business insights. This role requires strong technical expertise, strategic thinking, and the ability to translate complex data into actionable outcomes.Key ResponsibilitiesAI/ML Development:Design, develop, and deploy machine learning and AI models for predictive, prescriptive, and generative applications.Implement deep learning, NLP, and computer vision solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.Build and maintain scalable data pipelines and integrate models into production environments.Data Analytics:Collect, clean, and analyze large datasets to identify trends and actionable insights.Develop dashboards and visualizations using BI tools (Power BI, Tableau) for business stakeholders.Apply statistical and predictive modeling techniques to support strategic decisions.Collaboration & Strategy:Partner with cross-functional teams to align AI/ML initiatives with organizational OKRs.Communicate technical concepts effectively to non-technical stakeholders.Stay current with emerging AI/ML technologies and best practices.Required Qualifications5+ years in AI/ML development and data analytics roles.3+ years experience with Python, R, SQL, and cloud platforms (AWS, Azure, GCP).3+ years experience in machine learning algorithms, deep learning, and data analytics techniques.2+ years experience with MLOps, data pipelines, and model monitoring.2+ years experience in BI tools and visualization frameworks.Preferred SkillsStrong problem-solving, communication, and collaboration abilitiesEducationBachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)Anticipated Weekly Hours40Time TypeFull timePay RangeThe Typical Pay Range For This Role Is$92,700.00 - $185,400.00This 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 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 https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 12/02/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.