Senior Manager, Data Science

Numeris

1d • Hybrid

About The Position

Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data, and the industry-leading intelligence provider to broadcasters, advertisers, and agencies. The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at Numeris. This role leads the review and application of machine learning, statistical approaches and hybrid methodologies, integrates diverse data sources and ensures the accuracy, reliability and research rigour of both syndicated and ad-hoc outputs. The Senior Manager provides technical leadership and people management for the Data Science team, while working closely with other teams within Research as well as Product, Technology and Operations stakeholders.

Requirements

• Master’s or Doctorate degree in Statistics or Data Science or related field with strong statistical and computational skills.
• 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.
• 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.

Nice To Haves

• Accredited Statistician or Advanced Data Science certifications preferred
• Familiarity with Large Language Models and synthetic population frameworks considered an asset.

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.

Benefits

• Base pay range: $120,000-$150,000 CAD/year
• Annual Incentive Plan bonus
• Benefits package
• Group savings and retirement program
• Health and Dental employer paid premiums
• 4 weeks paid vacation
• Education Reimbursement: funding up to $1000 per year
• Continuous learning and development via Percipio, our Learning Management System.
• MentorMe program
• Leadership Training offerings
• Perkopolis: Participation in a program that provides exclusive discounts on products and services to employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior