Responsible for a standard common business vocabulary that expresses strategic data requirements and outlines high level integrated designs to meet these requirements and align with enterprise strategy and the related business architecture.
Responsible for analytical supportand statistical modeling for the purpose of maximizing revenue. Accountable for driving valuable fact-based and quantitative consumer insights from internal systems and to synthesize key findings which inform business and strategic marketing strategies.
The ideal candidate has conceived, developed, implemented and managed predictive rules-based automated decision engines, with exposure to the design and pricing of Supplemental Accident and Health insurance.
You will use predictive models to determine who to contact, how to contact them, and when to contact them. You will also participate in building a platform for collecting, storing, querying, modeling, and visualizing data from clients.
The Data Scientist will be a part of a team chartered to merge and mine large amounts of retail execution, sales and other relevant data to develop algorithms and production grade analytical solutions that drive decisions on what work company does for its clients that delivers them and internally within company most value.
Review internal and external analytical techniques, identify what data is available and relevant, source the necessary data; plan, develop, and apply leading-edge analytic and quantitative tools and modeling techniques to help clients gain insights and improve decision-making.