Work within a cross-functional team to deliver predictive analytics solutions to drive customer engagement and next-best-action. Improve customer experience across critical medical phases. Extract and manipulate data from multiple, large data sources to deliver predictive models and solutions to drive member behavior change and experience across multiple channels (mobile app, web, email, social, call center, Apple). Develop advanced algorithms and statistical predictive models. Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Uses strong programming skills 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. Communicate technical concepts to peers, managers, and business partners.
Masters degree in Statistics, Data Science or an Engineering related field.
Minimum 1 year of experience developing, implementing and maintaining ETL pipelines for large data sets through various sources of big data. Must have experience: developing, implementing and maintaining supervised and unsupervised predictive models and machine learning algorithms such as Xgboost and Neural Networks; performing statistical analysis, experiment design and hypothesis testing through A/B testing, power analysis and propensity score matching; and developing, implementing and maintaining predictive machine learning and deep learning models for behavioral change prediction through various mediums of structures and unstructured big data. Must have experience with Python, SQL or Java; as well as Spark and Hadoop, Map-Reduce and Agile.
Percent of Travel Required
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.