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.

Position Summary

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.

Required Qualifications

• 2+ years Analytic experience
• 2+ years SQL Programming experience
• 1+ year experience at a Data Scientist
• 1+ year experience with Python
• 1+ year experience with Cloud ( GCP , AWS or Azure )
• 1+ year experience communicating technical concepts to business

Preferred Qualifications

• Experience with BigQuery ( BQ )
• Experience with ML Modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• Good written and verbal communication skills
• Ability to work with large data sets from multiple data sources

Education

• Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree preferred.

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

This 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 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/benefits

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.