Data Scientist, Statistics and Modelling – Canadian Tire – Toronto, ON

Canadian Tire Corporation is one of Canada’s most recognized and trusted retailers — and right now, they’re looking for not one but two Data Scientists specializing in Statistics and Modelling to join their Advanced Analytics team in Toronto, Ontario. This is a 2-year contract role offering the chance to work on meaningful, data-driven projects that directly influence customer engagement, loyalty programs, and retail marketing strategy at a national scale.

If you’re a statistically-minded data science professional who thrives on designing causal inference frameworks, building predictive models, and translating complex analyses into clear business insights, this role is built for someone like you. You’ll work across loyalty, retail, and customer analytics — making a measurable impact on how one of Canada’s largest corporations understands and serves its customers.

About the Role: Data Scientist, Statistics and Modelling

At the heart of this position is the design and delivery of analytical measurement frameworks and advanced statistical models. You’ll develop a deep understanding of Canadian Tire’s retail business, store operations, loyalty programs, and marketing initiatives — then apply that knowledge to build rigorous test designs, study protocols, and machine learning models that drive smarter decisions across the organization.

You’ll be an active contributor to the analytics strategy within a cross-functional Advanced Analytics team, collaborating with business partners to ensure insights are not only statistically sound but also actionable and clearly communicated. Whether you’re querying large datasets, validating test results, or presenting model outputs to stakeholders, your work will directly support the strategic goals of Canadian Tire’s Retail organization.

Benefits and Salary

Canadian Tire offers a competitive hourly wage for this contract position, with a typical hiring range of $32.82 to $54.34 per hour, depending on experience, skills, and other role-specific factors. In addition to competitive pay, the role comes with career growth opportunities and product discounts. Canadian Tire’s broader benefits offering for eligible employees includes mental health benefits of up to $5,000 per year, the Triangle Learning Academy for continuous learning, Canadian Tire Profit Sharing, and retirement and savings programs.

Responsibilities

This role sits at the intersection of statistical rigour and business impact. Day-to-day, you’ll be designing experiments, building models, and collaborating with cross-functional teams to ensure that every analytical output tells a clear, evidence-based story. These responsibilities are essential to driving customer loyalty optimization and marketing efficiency across the Canadian Tire ecosystem.

• Develop a thorough understanding of Retail, Loyalty, Store Operations, and Marketing programs to inform analytical decisions
• Design comprehensive market, store, and user-level test frameworks with explicit success criteria
• Research statistical methodology to support protocol development, including study design and sample size calculations
• Collaborate with cross-functional teams to generate insights and measurement frameworks that improve business practices
• Construct and improve predictive models to reduce test costs and increase result confidence
• Validate and analyze test data from multiple angles to build compelling, fact-based narratives
• Develop statistical, causal, and machine learning models to improve customer engagement and marketing performance
• Contribute actively to the analytics strategy within the Advanced Analytics team

Requirements / Skills

The ideal candidate brings a strong academic foundation in a quantitative discipline combined with hands-on experience in data science and statistical modelling. Canadian Tire values professionals who can navigate ambiguity independently while communicating complex ideas clearly to both technical and non-technical audiences. Experience in retail or loyalty programs is considered a definite asset.

• M.S. or PhD in Statistics, Mathematics, Economics, or a related quantitative field
• 3+ years of experience developing and implementing data science solutions, ideally in retail or loyalty contexts
• Proficiency in Python, R, or SAS for statistical programming and analysis
• 3+ years querying large datasets using SQL, Spark, or similar tools
• Demonstrated knowledge of statistical techniques with the ability to select and justify the right approach for specific business problems
• Familiarity with cloud-based platforms such as Databricks and Azure Synapse (an asset)
• 3+ years of experience synthesizing and presenting complex models and analyses to business stakeholders
• Excellent written and verbal communication skills, including strong presentation abilities across technical and business audiences
• Ability to work independently with minimal supervision and navigate ambiguous problems effectively

How to Apply

To apply, submit your application through the official Canadian Tire job posting using the link below. Make sure your resume is up to date and reflects relevant experience in data science and statistical modelling before submitting.

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