Data Science Senior Manager

Senior Manager, Data Science

The Company

Our client is a highly respected not-for-profit organization and Canada’s most authoritative source for broadcast measurement and consumer behavior data. For over 75 years, they have set the "gold standard" in audience intelligence, serving as a critical partner to broadcasters, advertisers, and agencies nationwide. They foster a collaborative, curious environment dedicated to innovation and continuous professional development.

The Role

As the Senior Manager, Data Science, you will lead the design and validation of advanced analytics methodologies. This is a high-visibility leadership role responsible for ensuring research rigor across syndicated and ad-hoc data products. You will oversee a team of four specialists, integrating diverse data sources and applying machine learning and statistical approaches to shape the future of audience measurement.

Main Responsibilities

• Technical Leadership: Lead the Data Science team in developing and reviewing weighting, fusion, calibration, and attribution processes.
• Model Oversight: Oversee the application of data mining and hybrid methodologies, vetting models developed both internally and by external business partners.
• Executive Presentation: Act as a key subject matter expert, presenting complex data simulations and reports to C-suite executives and stakeholders.
• Innovation: Develop new approaches for data production and usability, leveraging LLMs and synthetic population frameworks to drive efficiency.
• Collaboration: Partner closely with Product, Technology, and Operations teams to ensure data integrity and business impact for clients.

Must Haves

• Education: Master’s or Doctorate degree in Statistics, Data Science, or a related quantitative field. (Candidates with Bachelor's Degree along with Accredited Statistician (P.Stat.) or Advanced Data Science certifications will also be considered)
• Experience: 5+ years of experience in a Data Science leadership role or equivalent advanced academic background.
• Technical Depth: Expertise in theoretical and applied statistics (sample design, forecasting) and proficiency in Python or R.
• Communication: Exceptional communication skills with a proven ability to present technical findings to non-technical executive leadership.
• Leadership: Demonstrated experience in people management and mentoring technical teams.

Nice to Haves

• Accredited Statistician (P.Stat.) or Advanced Data Science certifications.
• Familiarity with Large Language Models (LLMs) and synthetic population frameworks.
• Experience within the media or broadcast measurement industry.

Total Rewards & Info

• Salary Range: $120,000 – $150,000 CAD per year + Annual Incentive Plan (AIP) bonus.
• Work Model: Hybrid (2-3 days per week in the North York/Toronto office).
• Vacation: 4 weeks of paid vacation.
• Benefits: Comprehensive package with employer-paid Health and Dental premiums + Group Savings/Retirement program.
• Professional Development: $1,000 annual education reimbursement + access to leadership training and mentorship programs.
• Interview Process: A streamlined 3-step process.

This post is for existing and upcoming vacancies