Aetna Lead Data Scientist in New York, New York
Req ID: 42971BR
Aetna s Consumer Health Services 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 - Healthcare to play a pivotal role in the creation and deployment of information products. The position is office based in either our Harford, CT or Wellesley, MA location and will primarily focus on Fraud Detection. Position Summary:
Our team uses a consultative approach to problem solving. We are looking for a creative problem solver who can evaluate the problem at hand and determines the most logical approach to solve the problem; identifies the right tools, techniques and/or algorithms. This is a unique opportunity for someone passionate about managing the successful delivery of the analytic solutions, algorithms, statistical models, complex analysis and reporting tools to meet business needs. The individual will act as contributor/leader of large and complex projects involving multiple data sources and tasks; the individual will also mentor junior associates in the team. Fundamental Components: · Collaborates with business partners to identify problems that analytics can solve and the problem· Create problem solver who thinks on first principles basis to evaluate multiple approaches and determines most appropriate approach/tool/technique· Explorative in understanding Aetna data systems and identifies the right data sources for the problem at hand · 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, not limited to data exploration, model building, performance evaluation & testing· Mentors junior team members to provide technical advice.· Acts as a thought partner to the leadership and business partners· Establishes oneself as the subject matter expert within the specific business area · Collaborates with business partners to enhanced existing approaches/tools.· Presents highly complex analyses to business partners and leadership in simple language and gain alignment Background/Experience:· Comprehensive knowledge of healthcare insurance industry, products, systems and business strategies required.· 5 or more years related experience with healthcare data analytics, statistical analysis, visualization tools, predictive modeling/machine learning techniques· Expertise in SQL and programming languages such as SAS, R, Python.· Expertise in visualization tools such as Tableau.· Consulting experience working with healthcare client companies is a plus.· Strong organizational and leadership skills. Education · Master s Degree preferred. Additional Job Information: Aetna continues to build a world-class Data Science organization to capture data, understand context, generate insights and react in real time. We engage our business partners, providing solutions to improve the consumer experience, increase efficiencies, and optimize health outcomes for our members through leveraging cutting edge technology. 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.
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