Aetna Data Scientist in Hartford, Connecticut

Req ID: 49678BR

Position Mission/Summary:Looking for opportunities to use cutting edge technologies analyzing petabytes of data in a world class Hadoop cluster, generating insights to guide consumers in their journey to wellness and help them achieve their health ambitions, whether it s running the Inca Trail Marathon or playing tackle football with their grandkids? Aetna s Member Analytics team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way. This position will work within a cross-functional team, delivering predictive analytics solutions to drive customer engagement and next-best-action, and improve customer experience across critical journeys, e.g., onboarding, breast cancer, maternity. The candidate will be responsible for extracting and manipulating data from multiple, large data sources and using the data to deliver predictive models and solutions to drive member behavior and experience across channels (mobile app, web, email, social, call center, Apple watch)

Fundamental Components:· Develops and/or uses advanced algorithms and statistical predictive models and determines 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 · Supports experimental design of campaigns across multiple channels, i.e., web, mobile app, email, social, Apple watch, in partnership with marketing stakeholders. Evaluates campaign performance for further optimization in subsequent iterations· Demonstrates strong ability to communicate technical concepts and implications to peers, managers, and business partners

BACKGROUND/EXPERIENCE· 2-3 years of progressively complex related experience· Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas. · Expertise in using R or Python to manipulate large data sets and develop statistical models· Expertise in data management in an Hadoop environment, including use of Hive · Excellent problem solving skills, critical thinking and conceptual thinking abilities· Strong ability to communicate technical concepts and implications to business partners· Some knowledge of health care industry preferred


The highest level of education desired for candidates in this position is a Master's degree.


Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come.

We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence.

Together we will empower people to live healthier lives.

Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities.

We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard.

Benefit eligibility may vary by position. Click here to review the benefits associated with this position.

Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

Job Function: Data & Analytics