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 Scientist - 66121BRPrimary Location: New York, New York
Additional Locations: NY-New York Apply
66121Fundamental Components: This position will work with a team of analysts and business partners to deliver analytics around Aetna’s clinical initiatives and programs. The Lead Data Scientist will be responsible for extraction and manipulation of data from multiple, large data sources and will use advanced statistical/machine learning techniques and analytical and visualization software to conduct observational cohort studies, to design and assess pilots for new products, to develop predictive models and to generate other actionable insights.
|•||Develops, validates and executes analytical approaches and complex algorithms to detect patterns, investigate problems and recommend solutions.|
|•||Aggregates and performs analysis of structured and unstructured data to solve complex business problems utilizing advanced statistical techniques and mathematical analyses. Has specialized expertise in the organization and/or industry.|
|•||Manages large and complex analytical projects through data exploration, model building, performance evaluation and testing.|
|•||Uses data visualization techniques to effectively communicate analytical results that support business decisions.|
|•||Behaves as mentor to junior team members to provide technical advice.|
|•||Collaborates with business partners to develop technical/business approaches and or enhanced technical tools.|
|•||Creates detailed documentation of work for both technical and non-technical audiences.|
|•||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.|
- 7-10 years of progressively complex experience with data management and analytics.
- Proficiency in statistical techniques, predictive modeling, data mining/exploration and machine learning techniques.
- Knowledge of observational and randomized study design and predictive modeling methodologies.
- Extensive experience using tools such as SAS, R, or Python to deploy quantitative techniques ranging from descriptive statistics to data mining to deep analytics and predictive modeling.
- Ability to write SQL code (by using any tools/languages like Aginity, SAS, R, Python) to extract and organize data from various data sources (e.g. Hadoop, Netezza, DB2)
- Health care industry and clinical knowledge desired.
- Strong skills to effectively communicate and negotiate across the business and in the external health care environment
- Proven ability to clearly communicate technical concepts and implications to business partners, peers, junior analysts and management.
Bachelor’s degree required; Master’s degree preferred. Degree or relevant work experience in Mathematics, Statistics/Biostatistics, Epidemiology, Economics or related discipline.
#LI-DT1 Potential Telework Position: No Percent of Travel Required: 0 - 10% EEO Statement: Aetna is an Equal Opportunity, Affirmative Action Employer Benefit Eligibility: Benefit eligibility may vary by position. Candidate Privacy Information: 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.
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