Senior Data Scientist, ML Platform

Job DescriptionCVS Health is America's leading health solutions company delivering care in ways no one else can. Our purpose is simple and clear: Bringing our heart to every moment of your health. What sets CVS Health apart isn't just the health care we provide. It's how we provide it. 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.Analytics & Behavior Change is an innovation engine supporting the entire CVS Health organization by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. Join Analytics & Behavior Change to make a meaningful difference to our communities through data and analytics and help CVS Health change the landscape of the health care industryThis position lies within the Enterprise Data & Machine Learning team. The EDML team focuses on data and ML platform design and development aimed at improving the productivity and efficacy of thousands of fellow data scientists and engineers throughout the organization. This foundation will facilitate hundreds of millions of ML enabled member and consumer touchpoints. Our work is ambitious and far reaching with the potential to become a new internal standard, an OSS project, or differentiating intellectual propRole Responsibilities:Help inform the design of and roadmap for our enterprise ML & Feature Platform. Lead development and implementation of products/packages oriented toward fellow data scientists. Implements MLOps design patterns that incorporate best practices. Develops, tests, and deploys ML pipelines. Work cross-functionally with scientists, engineers, and product. Identifies of opportunities for the development of solutions related to the data science lifecycle. Embraces a product and systems mindset when developing solutions at scale. Use data to inform strategic and design decision making in addition to measuring performance and outcomes to demonstrate efficacy. Use statistics and machine learning to analyze petabytes of health care data. Provide mentoring to junior data scientists throughout the organization. Motivates team members and probes into technical details while coaching others to do the same. Champion a data-driven culture.Pay RangeThe typical pay range for this role is:Minimum: 75,000Maximum: 167,000Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.Required Qualifications3+ years of experience working as a data scientist or machine learning engineer. 3+ years of programming experience with Python, SQL, and Git. 3+ years of experience developing and deploying predictive models or ML systems in a cloud environment (e.g., GCP, AWS, Azure). Demonstrated experience developing or supporting the development of data science products. Demonstrated track record of technical innovation and implementing novel machine learning techniques. Demonstrated analytical and problem-solving skills.Preferred QualificationsExperience building machine learning pipelines (e.g., Airflow, Kubeflow/Argo, Metaflow, or Prefect) and deploying them in the cloud (e.g., GCP, AWS, or Azure). Thorough understanding of machine learning engineering principles such as distributed/parallel computing paradigms and advanced data structures. Thorough understanding of experiment design, MLOps, and continual learning principles. Familiarity with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch. Familiarity with modern libraries such as Dask, Ray, Arrow, and Rapids. Familiarity with natural language processing and computer vision. Excellent ability to communicate technical ideas and results to non-technical clients in written and verbal form.EducationBachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree or PhD preferredBusiness OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

Created: 2025-09-06