Senior Data Scientist

Medicare Business Intelligence COE is an integral part of the Medicare organization responsible for providing Business Intelligence and analytical insights into key decision processes and focusing on complex initiatives with measurable impact on performance. We use advanced analytical tools, modeling and machine learning to generate actionable insights by leveraging big data within a cutting-edge environment. We are focused on creating new opportunities that drive change in areas such as Medicare Stars, service operations, Patient Safety, population health management and member experience. This position will report to Director of Medicare Business Intelligence and play a critical role in shaping and developing analytical capabilities to improve health of our members and optimize member experience.
The individual will:

• Apply experience from Strategy Consulting, Analytics, and Data Science to successfully lead multiple complex initiatives and deliver innovative solutions that help drive business performance and growth.
• Develop and/or use algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Perform 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.
• Collaborate with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
• Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions.
• Interact 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 or more years of progressively complex related experience.
• 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 analyses, and predictive modeling and in-depth specialization in some areas.

COVID Requirements

COVID-19 Vaccination Requirement
CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.

You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.

Preferred Qualifications

• Experience working with Healthcare data or in Healthcare industry
• Master’s degree or PhD preferred.

Education
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline; or equivalent experience in lieu of degree

Business Overview
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.