Senior Manager, Data Science

Be responsible for the quality and statistical research rigor of Numeris data products including developing and reviewing weighting, fusion, calibration, attribution and other statistical processes as well as the accuracy and reliability of data outputs.

Manage the Data Science team in order to provide recommendations for the use of statistical, Data Science and AI methodologies, the continuous improvement of current analytical data processes and procedures, and the expansion of value added to data products.

Oversee the application and review of data mining, data integration and hybrid methodologies. Assess the integrity of statistical and machine learning models developed internally or built externally by business partners, guaranteeing the use of rigorous research statistical and data science standards.

Develop and support alternative or new approaches including hybrid methodologies for the mining, management, production and usability of new data outputs, leveraging both data and information from a variety of internal and external sources.

Produce, supervise and vet reports and recommendations based on data modelling, advanced analytics and simulations with business impact on Numeris clients.

Support automation projects throughout the organization by implementing solutions that drive efficiency.

Work closely with Data Science partners, as well as internal Product, Technology and Operations staff.