Data Scientist

Bring 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.

It’s a new day in healthcare!

Looking for opportunities to use cutting-edge technologies analyzing petabytes of data on Google Cloud Platform? Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey?

CVS's Analytics & Behavior Change team delivers strategically impactful programs and tools that expand convenient access to high-quality and affordable care for all members across multiple channels across all stages of life.

At CVS, we’re pioneering a total approach to health and wellness. As a Data Scientist on the Analytics & Behavior Change team, you’ll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience.

You will be part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data and deploy robust solutions through provider-directed engagement channels (e.g., digital) that helps consumers identify affordable care, when they need it, and with whom.

Fundamental Components

• Participates in the development, validation, and delivery of algorithms, statistical models, and reporting tools. Solves moderately complex analytical problems.
• Develops, validates, and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Explores, examines, and interprets large volumes of data in various forms.
• Performs analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
• Develops data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs.
• Uses data visualization techniques to effectively communicate analytical results and support business decisions.
• Creates and evaluates the data needs of assigned projects and assures the integrity of the data.