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.
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.
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.
Understanding of various data storgage formats including XML, JSON, CSV, normalized data, and unstructured data; very significant understanding of SDLC and software engineering concepts and source control systems.
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 Data Scientist is an experienced statistical/operations research analyst in various analytical disciplines, such as linear and constraint programming, modeling, simulation, time series analysis, text analytics, multivariate analysis, and other various predictive analytics techniques.