About the role

Senior Manager, Data Science responsible for advanced analytics methodologies at Numeris. Leading a team to ensure accuracy and reliability of data products and processes.

Responsibilities

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.

Master’s or Doctorate degree in Statistics or Data Science or related field with strong statistical and computational skills.
Accredited Statistician or Advanced Data Science certifications preferred
5 years or more in a similar role or a combination of experience and educational background.
Expertise in theoretical and applied statistics, from sample design to modeling and forecasting.
Solid knowledge of advanced analytics, data integration, natural language processing and AI-driven methodologies.
Familiarity with Large Language Models and synthetic population frameworks considered an asset.
Advanced knowledge of statistical packages and data science programming (e.g. Python, R).
Advanced analytical and critical thinking skills.
Strong leadership and people management skills.

Benefits package, group savings and retirement program. (Health and Dental employer paid premiums).
4 weeks paid vacation.
Education Reimbursement: For those wishing to pursue additional professional development, funding up to $1000 per year is offered (some conditions apply).
Continuous learning and development via Percipio, our Learning Management System.
Be part of additional programs such as MentorMe, which helps our employee’s network, and grow within the organization.
Leadership Training offerings for new and emerging leaders.
Culture of great teams, coworkers and supportive leadership.
Perkopolis: Participation in a program that provides exclusive discounts on products and services to employees. Perks include shopping discounts, movie tickets, services, event/show tickets and much more!