At Aetna, we’re pioneering a total approach to health and wellness. As a Data Scientist on the Analytics & Behavior Change team, you’ll build leading-edge analytics, data and technology platforms to help reimagine health care. We’ll count on you to help solve problems and deliver meaningful insights to our customers by leveraging innovations in data science, machine learning and predictive modeling techniques. And we’ll support you in achieving more in your life and your work.
What makes a successful data scientist? Here are the traits we are looking for:
Paid Time Off & Disability
At Aetna Analytics, the team uses machine learning techniques and data visualization to derive insights from the data to guide our efforts to understand and care for our members more effectively and at a lower cost. Each team member is responsible for a new weekly insight. We have a great mix of new graduates and senior data scientists. I’m constantly blown away at the talent, creativity and drive on our team!Karen S., Senior Director - Enterprise Analytics
Working at Aetna, gives you the opportunity to use the data to make a change. A change that could save lives, could prevent fraud, a change that really matters and a chance to work with like-minded people to make a difference. A great team, helpful colleagues, intelligent co-workers make the journey to learn and innovate that much more fun.Tanvi K., Data Scientist - Clinical Analytics
Sr Data ScientistPrimary Location: Wellesley, Massachusetts
Additional Locations: MA-Wellesley Apply
Work under Aetnas Consumer Health Services Analytics Team to create cutting edge analytic tools to drive better and faster decision making within the organization. Responsible for Clinical Analytics using an industry leading, scalable data platform and tools to glean insights from Aetnas large array of data sources, including medical claims, prescriptions, demographics, and surveys. From these insights and understanding of the business needs, lead and participate in the design and evaluation of innovative clinical initiatives and programs via a new clinical advocate model. Responsible for independently leading, analyzing and presenting important health care related clinical analytics projects. Identify and utilize appropriate mathematical and statistical approaches to influence study design and evaluation with the goal of promoting better health and lower costs for our members. Develop and use algorithms and statistical predictive models to determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Perform analyses of structured and unstructured data to solve multiple complex business problems utilizing advanced statistical techniques, mathematical analyses and broad knowledge of the organization/industry. Collaborate with business partners to understand their problems and goals, solve business questions, and help them to achieve goals by performing statistical analysis and developing predictive modeling, data reports and performance metrics. Responsible for developing and participating 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. Work with algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Use programming skills to explore, examine and interpret large volumes of data in various forms and communicate technical concepts and implications to business partners.
Masters degree in Statistics, Informatics, Health Care Management or related.
Minimum two years of healthcare industry experience in an analytical role working with health care data, systems and standards. Must have experience with mathematical analysis methods; stratification; and statistical analyses. Must have experience using R or Python to manipulate large datasets and develop statistical models; and Business intelligence tools to develop insights. Must also have experience with data engineering; data visualization; and SQL.
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.
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