Lead Data Scientist

Aetna

(Hartford, Connecticut)
Full Time
Job Posting Details
About Aetna
Aetna is a diversified health care benefits companies, providing individuals, employers, health care professionals, producers, and others with innovative benefits, products, and services. It is serving an estimated 46.7 million people with information and resources to help them make better decisions about their health care.
Summary
Aetna’s Consumer Health Services Customer Insights and Analytics Team creates cutting edge analytic tools to drive better and faster decision making within the organization. We are currently looking for an exceptional Lead Data Scientist to play a pivotal role in the creation and deployment of information products. This is a unique opportunity for someone passionate about managing the successful delivery of the algorithms, statistical models and reporting tools to meet business needs. Will act as the Analytics Team Lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives.
Responsibilities
* 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 & statistical methods to analyze large amounts of data, using advanced statistical techniques. * Manage large & complex analytical projects: data exploration, model building, performance evaluation & testing . * Behaves as mentor to junior team members to provide technical advice. * Collaborate w/business partners to develop technical/business approaches and new/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.
Ideal Candidate
**Background/Experience:** * 7 – 1-0 years related experience with healthcare data analytics, statistical analysis, predictive modeling, machine learning techniques, and visualization tools. * Comprehensive knowledge of healthcare insurance industry, products, systems, business strategies and products. * Experience in SAS or SQL programming languages. * Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources. * Experience with big data technologies such as Python, R, Hadoop, and Tableau preferred. * Demonstrated ability to effectively communicate and negotiate across the business and in the external health care environment. * Demonstrated ability to communicate technical ideas and results to non-technical clients in written and verbal form. * Strong organizational, management and leadership skills. * Excellent analytical and problem solving skills **Education:** Master’s Degree; Ph.D. preferred.
Compensation and Working Conditions
Benefits Benefits included

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