Senior Data Scientist - Payment Optimization Analytics

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 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 Sr Data Scientist on the Payment Optimization Analytics 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

• Leads and participates in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solves complex analytical problems.
• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.

Required Qualifications

• 5+ years Analytic experience
• 5+ years SQL Programming experience
• 4+ year experience with Python
• 3+ year experience as a Data Scientist with proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
• 2+ year Tableau dashboard building experience
• 2+ year experience with Cloud ( GCP , AWS or Azure )
• 2+ year experience working with large data sets from multiple data sources
• 2+ year experience communicating technical concepts to business

Preferred Qualifications

• Healthcare industry experience
• 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

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $222,4