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Randstad Logo Randstad · IT - Software Development

Sr. Manager, Data Science

Canada, North York 120000.00 - 150000.00 CAD / Year · Job Posted May 16, 2026
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Job Description

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics methodologies at our client. 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.

Job Responsibility

  • Be responsible for the quality and statistical research rigor of 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 our 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

Requirements

  • 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

Nice to have

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

What we offer

  • Benefits package, group savings and retirement program
  • Health and Dental employer paid premiums
  • Hybrid Work: on-site office in Toronto and work from home as required per the role
  • 4 weeks paid vacation
  • Education Reimbursement: funding up to $1000 per year
  • Continuous learning and development via Percipio
  • MentorMe program
  • Leadership Training offerings
  • Perkopolis: exclusive discounts on products and services
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