Aetna Data Scientist - Student Opportunity in New York, New York
Req ID: 59186BR
Data Scientist– 2019 Student Opportunity
Who we are
Aetna s Analytics &Behavior Change team supports the entire organization by embedding deep analytic insights into key decision processes and focusing on our biggest, most complex problems. We use advanced analytics tools, modeling and machine learning to generate insights by leveraging data within a cutting-edge petabyte-scale Hadoop environment. We re focused on creating new opportunities that drive change in areas such as healthcare fraud detection and prevention, provider efficiency, and member experience and behavior change.
Our goal is to make healthcare simpler, more affordable, and convenient. We are inspired to make a difference by connecting people to the information they need and helping our members feel the joy of achieving their best health in their own way. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that will lead you to success. Aetna Analytics has the feel of a fresh startup within a 165 year old company, and we re looking for people who like solving tough challenges and are motivated by a desire to drive change.
What you will do
Use modeling, machine learning and programming skills to generate insights by leveraging large amounts of healthcare data from both internal and external sources
Demonstrate how analytical results are connected to a business problem or objective
Present and provide recommendations to internal teams and stakeholders
Work with business partners to support the design of programs / campaigns that will improve the quality of health care, lower costs, and help our members achieve their best health
What you need
Proficiency in areas of mathematical and statistical analysis, predictive modeling, and data visualization
Programming and data manipulation skills
Excellent problem solving and critical thinking abilities
The ability to understand complex systems and solve challenging analytical problems
Strong collaboration and communication skills within and across teams
A strong ability to communicate technical concepts and insights to business partners
A passion to help transform health care
Some relevant experience is preferred at the graduate level
You are eligible if you
- A recurrently pursuing a degree in Mathematics, Statistics, Information Systems, Data Science, or other relevant majors.
ADDITIONAL JOB INFORMATION
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 candidates'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.
Aetna is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veterans status.