Job Description
Develop and use advanced algorithms and statistical predictive models and determine analytical approaches and/or model techniques to evaluate scenarios and potential future outcomes. Work within Aetnas cross-functional team delivering predictive analytics solutions to drive customer engagement and next-best-action and improve customer experience across critical journeys. Extract and manipulate data from multiple, large data sources and use the data to deliver predictive model and solutions to drive member behavior change and experience across channels (mobile app, web, email, social, call center, Apple watch). Use programming tools to explore, analyze and interpret large volumes of data in various forms, and solve complex business problems. Support deployment of insights across multiple channels, i.e., web, mobile app, email, social, call center, Apple watch. Conduct mathematical analysis methods, machine learning, statistical analyses, predictive modeling using Python, R, SQL and/or MS Excel to manipulate large data sets and develop statistical models.

Background Experience
Requirements

Masters degree in Statistics, Operations Research or a related field.

At least 2 years of experience with: mathematical analysis methods, statistical analyses, predictive modeling and machine learning; SQL to perform ETL tasks in Hadoop environment, including Hive, using Putty or Aginity; and R, Python and MS Excel to develop predictive models, statistical analysis, data visualization or business reports. Must also have experience with Unix shell including bash and Github.

Percent of Travel Required
N/A

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.