Senior Data Scientist, Statistics and Modeling – Canadian Tire – Toronto, ON

Canadian Tire Corporation is looking for a Senior Data Scientist, Statistics and Modeling to join its Advanced Analytics team in Toronto, Ontario. This is a senior-level role for a results-driven professional ready to lead cutting-edge analytics work across retail, loyalty, and customer marketing programs — applying everything from causal inference frameworks to agentic AI solutions.

This position sits at the intersection of data science and business strategy. You’ll be designing measurement frameworks, building deep learning models, and orchestrating end-to-end analytical pipelines that feed directly into the decisions driving one of Canada’s largest retail organizations. If you thrive on turning complex data into compelling, fact-based narratives, this role is built for you.

About the Role: Senior Data Scientist, Statistics and Modeling

The Senior Data Scientist will lead analytical initiatives supporting customer engagement, loyalty program optimization, and marketing program efficiency. Day-to-day, you’ll develop advanced statistical and machine learning models, design attribution and incrementality frameworks, and collaborate with cross-functional business stakeholders to generate insights that drive measurable outcomes across Canadian Tire’s retail organization.

Beyond individual modelling work, this role involves leading the orchestration of multi-stage analytical pipelines, ensuring scalability and production reliability across multiple data sources and workstreams. You’ll also play a key part in designing and implementing agentic AI solutions that automate analytical workflows and support decision-making at the business level.

Benefits and Salary

Canadian Tire offers a broadband salary range of $64,000 to $106,000, with final compensation determined by experience, internal equity, and market conditions. Beyond base pay, the total rewards package includes comprehensive benefits and retirement programs, performance incentives, continuing education programs, mental health benefits of $5,000 per year for eligible employees and their families, Canadian Tire Profit Sharing, Triangle Learning Academy access, career growth opportunities, product discounts, and other well-being perks.

Responsibilities

As a Senior Data Scientist at Canadian Tire, you’ll take ownership of complex analytical challenges spanning retail analytics, marketing measurement, and customer loyalty. These responsibilities require a blend of deep statistical expertise, hands-on modelling skills, and the ability to communicate findings clearly to business stakeholders at all levels.

• Design and deliver analytical measurement frameworks including attribution, incrementality, and Marketing Mix Modeling at the customer and channel level
• Build and validate comprehensive market, store, and user-level test designs with explicit success criteria and sample size calculations
• Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance
• Implement agentic AI solutions to automate analytical workflows, insight generation, and decision support for business stakeholders
• Deploy deep learning models for complex pattern recognition in customer behaviour, product affinity, and marketing response
• Lead orchestration of end-to-end analytical pipelines across multiple data sources and modelling workstreams to ensure scalability and production reliability
• Research and apply statistical methodology to aid in protocol development and analysis planning
• Collaborate with cross-functional teams to generate insights and test measurement frameworks that improve business practices

Requirements / Skills

This role is well-suited for a senior data scientist with a strong quantitative foundation and proven experience applying advanced analytics in a business context. Canadian Tire values professionals who can work independently, navigate ambiguity, and bring both technical rigour and clear communication to every project.

• M.S. or PhD in Statistics, Mathematics, Economics, Computer Science, or a related quantitative discipline
• 7+ years of experience developing and implementing data science solutions, preferably in retail or loyalty programs
• Proficiency in Python, R, or SAS for statistical programming and model development
• 5+ years of SQL or Spark experience querying and analyzing large-scale datasets
• Deep learning frameworks such as PyTorch or TensorFlow; familiarity with agentic AI architectures and LLM-based solutions is an asset
• Cloud data platform experience with tools like Databricks and Azure Synapse considered a strong asset
• Excellent communication skills — written and verbal — with a demonstrated ability to present complex analyses to non-technical business partners

How to Apply

To apply, visit the official job posting using the link below. Make sure your resume is up to date and tailored to the key qualifications outlined in this posting before submitting.

Share This Opportunity

Know someone who might be interested? Share this job posting and help them join Canadian Tire in Toronto.