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Senior Data Scientist, Customer Analytics and Predictive Modelling

Job in Toronto, Ontario, C6A, Canada
Listing for: Canadian Tire Corporation
Full Time position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 44083 - 73012 CAD Yearly CAD 44083.00 73012.00 YEAR
Job Description & How to Apply Below

Canadian Tire Corporation is seeking a results-oriented Senior Data Scientist to join their Advanced Analytics team in Toronto, ON on a 12-month contract. There are two positions available.

What you'll do:
  • Develop a deep understanding of Canadian Tire's Retail business, Loyalty and Credit Card Customers, and Marketing programs.
  • Support the development of models and analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness.
  • Collaborate in cross-functional teams to generate models, insights, and measurement frameworks that improve business practices and generate measurable business value.
  • Scope and structure data science projects while considering business needs and technical constraints.
  • Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations used in critical business decisions.
  • Support the development of a robust measurement practice using the latest machine learning technologies to provide timely insights.
  • Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance.
  • Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts.
  • Establish necessary data pipelines to deploy AI/ML solutions.
  • Act as an active contributor to the analytics strategy within the Advanced Analytics team.
What you bring:
  • M.S. or PhD, preferably in Statistics, Math, Economics, Computer Science, or a related quantitative discipline.
  • 3+ years of experience developing and implementing data science solutions for retail businesses or loyalty programs.
  • Strong background in statistics, optimization, mathematical modelling, and forecasting.
  • Proficiency in Python, Spark, R, or SAS.
  • 3+ years of experience querying and analyzing large datasets with SQL, Spark, etc.
  • Demonstrated understanding of statistical techniques to select the right approach for specific business problems and constraints.
  • Familiarity with cloud-based data structures; experience with Databricks and Azure Synapse is an asset.
  • Experience with version control systems, particularly Git, preferred.
  • 3+ years of experience interpreting, synthesizing, and presenting complex models and analysis to business partners.
  • Excellent oral and written communication skills.
Compensation:

$32.00–$53.00/hr benefits include career growth opportunities, product discounts, Triangle Learning Academy, Canadian Tire Profit Sharing, retirement and savings programs, and mental health benefits of $5,000/year for eligible employees.

Position Requirements
10+ Years work experience
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