This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making.
Collaborates with business segments to extract analytical, behavioral and predictive insights from ever increasing data resources. Applies progressive statistical, programmatic, and analytical approaches to business hypotheses to gain deeper understanding of available data. Aids business owners in the interpretation of the results of models and analysis. Requires a solid understanding of both the technical and business aspects of Data Science and business analytics. Must be able to understand the analytical needs of business users, and the business, and translate those needs into actionable resources. Requires full Data Science life cycle development experience within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization. Models will be deployed using agile methodologies to ensure timely and relevant delivery.
Responsible for the design, development, and maintenance of analytical models that will be placed into operation. Will be required to explore internal and external data sources to identify useful structures within the data that were/are previously unknown to the business. Should have a strong understanding of relational and dimensional modeling to facilitate data wrangling, model operationalization, and exploration of data. Must have experience with R, Python, and Linux. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of corporate data and reports. Must be able to work with users from all levels of management in developing and implement operational and strategic analytics. The Data Scientist’s primary focus will be performing data mining, statistical analysis, and operationalization of analytical models. This is not a research, proof of concept, or theorist position, the data scientist must be able to drive real business value.
ESSENTIAL FUNCTIONS AND BASIC DUTIES: