Senior Data Scientist

Job DescriptionCVS Health is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care. Data Science is one of the foundational pillars driving CVS Health into a data centric company. You will be part of a large group of highly accomplished data scientists to help build innovative solutions and manage data using the latest tools and technology. Whether you specialize in Machine Learning, Optimization & Simulations, Statistical Analysis, or Natural Language Processing, you will have ample opportunity to contribute, grow and achieve your best working for Fortune 5's largest healthcare company.Who we are: CVS Health Analytics & Behavior Change organization has several teams, Consumer Analytics, Front Store Analytics and Data Strategy and Engineering, helping lead the effort to transform healthcare and provide better outcomes for patients by leveraging solutions in a particular business analytic area and deliver new insights to leaders that manage the roadmap for enhancements that drive new development on existing or new solutions. What you will do:As the Sr. Data Scientist Retail Pharmacy, Consumer Analytics, you will be actively contributing to a high performing team of data scientists and engineers who are building the foundational pillars of advanced machine learning solutions to solve some of the most relevant healthcare problems. This role will be part of the data science team that is pushing the frontiers of the digital transformation of CVS Retail Pharmacy and deliver an omnichannel experience to our patients. This includes innovation in a robust experimentation framework that enables simultaneous testing of multiple levers - timing, cadence, verbiage, channel etc. that help us deliver 1:1 personalized outreaches to our pharmacy patients and ensure they reach their adherence goals; building advanced segmentation models that help target the right patient population with the right messaging, building core elements of NLP framework that enables real time intelligent conversations with patients; etc.The role will be directly responsible for: Delivering multiple high impact product solutions that have a direct impact on our Pharmacy growth bottom line by taking on individual projects & guiding junior members Lead discussions with key internal/external stakeholders and make recommendations on how best to leverage machine learning and advanced analytic methods to support business outcomes. Provide expertise in modeling & statistical approaches (machine learning methods ranging from regression methods, decision trees, deep learning, NLP techniques, uplift modeling; statistical modeling such as multivariate techniques etc.) and leverage the right technique suited for the problem Manage deliverables across multiple projects with a bias to action, help set right expectations on LOE & timelines. Lead & contribute to cross-functional teams in implementing scalable models in cloud platforms. Present technical findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-technical audiencesPay 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 QualificationsProfessional Experience includes the following areas: 3+ years Hands-on experience designing and implementing end-to-end solutions using Machine Learning in a fast-paced environment 3+ years proficiency with common modeling tools and frameworks, e.g. Python, R, Scala, TensorFlow, etc. 2+ years proficiency with model pipeline technologies like Airflow, MLFlow, MLOps, Kubeflow etc. 1+ years familiarity with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M) 3+ years hands-on experience manipulating data on big data environments using state of the art technologies like PySpark, Hive etc. 2+ years proficiency with cutting edge ML tools & languages, both open source and proprietary eg.TensorFlow, PyTorch, PySpark etc. Ability to drive data management and model productionalization best practices 2+ years experience with data visualization techniques that help tell a deeper story of data distributions and improve explainability of the models.Preferred Qualifications Excellent communication skills and adept at explaining complex technical concepts to both technical and non-technical audiences. Ability to influence technical decision by leveraging their in-depth Machine Learning/Statistics and data expertise Demonstrates strong ability to communicate technical concepts and implications to business partners Anticipates and prevents problems and roadblocks before they occur Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areasEducationBachelor'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: 2026-05-02