Full-Time Data Scientist / Decision Scientist

Position Summary
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 / Decision 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 recommend network configurations deliver access to affordable healthcare.

FUNDAMENTAL COMPONENTS

• Participating in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solving moderately complex analytical problems.
• Developing, validating, and executing algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
• Exploring, examining, and interpreting large volumes of data in various forms.
• Performing analyses of structured and unstructured data to solve moderately complex business problems, utilizing advanced statistical techniques and mathematical analyses.
• Developing data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Using data visualization techniques to effectively communicate analytical results and support business decisions.
• Creating and evaluating the data needs of assigned projects and assures the integrity of the data.
• Demonstrating good written and verbal communication skills.
• Ability to present information to various audiences.
• Effectively resolving problems and roadblocks as they occur.
• Demonstrating proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization.
• Ability to work with large data sets from multiple data sources.

Required Qualifications

• 2+ years' experience in Data Scientist or Decision Scientist role
• 2+ years' experience in programming in Python using Pandas for data manipulation
• 2+ years' experience writing strong, complex and efficient queries in SQL
• 1+ years' experience working in Cloud platforms (Google Cloud Platform, AWS or Azure)

Preferred Qualifications

• Healthcare industry work experience
• Google Cloud Platform work experience
• Software engineering experience

Education

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