Senior Data Scientist

We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.

The STARS Analytics and Behavior Change team at CVS Health is looking for an accomplished senior data scientist to expand the Aetna Stars team. This person would work with a small and dynamic team to build innovative solutions that quantify and improve Stars performance for Medicare business. There will be hands-on technical projects along with the opportunity to pitch novel solutions to business stakeholders.

Responsibilities

• Develops and uses algorithms and statistical predictive models to evaluate scenarios and potential future outcomes
• Performs analyses of structured and unstructured data to solve multiple and complex business problems utilizing advanced statistical techniques and mathematical analyses
• 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
• Uses strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Uses strong programming skills to explore, examine and interpret large volumes of data in various forms

Requirements

• 3+ years of relevant analytic experience
• Experience programming using R or Python
• Experience in SQL

Preferred Qualifications

• 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 analysis, and predictive modeling and in-depth specialization in some areas

Education

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

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility