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
Lead Data ScientistPrimary Location: New York, New York
Additional Locations: NY-New York Apply
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 model and solutions to drive member behavior change and experience across channels (mobile app, web, email, social, call center, Apple)
- Manages and is responsible for the successful delivery of the algorithms, statistical models and reporting tools to meet business needs.
- Acts as the analytic team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives.
- Develops complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
- Performs analyses of structured and unstructured data to solve multiple and complex business problems. utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry.
- Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques.
- Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing.
- Behaves as mentor to junior team members to provide technical advice. Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools.
- Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.
- Strong skills to effectively communicate and negotiate across the business and in the external health care environment
- Excellent analytical and problem solving skills.
- Strong organizational, management and leadership skills.
- Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
- Solid understanding of health care industry, products, and systems.
- Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas.
- 7-10 or more years of progressively complex related experience.Demonstrates strong ability to communicate technical concepts and implications to business partners.
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master’s degree or PhD preferred.
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