Senior Data Scientist, Predictive Modelling – Canadian Tire – Toronto, ON

Canadian Tire Corporation is on a mission to become the top forecasting retailer in the world — and the Senior Data Scientist, Predictive Modelling role in Toronto, Ontario is central to making that happen. This is a high-impact position where machine learning, predictive analytics, and advanced data science converge to shape enterprise-level decisions across product forecasting, pricing strategy, and promotion optimization.

If you thrive on transforming complex data into actionable insights and want your work to influence how one of Canada’s most recognized retailers operates at scale, this could be the right next step. You’ll collaborate across Forecasting, Replenishment, Pricing, Planning, Promotions, Allocations, and IT teams — bringing analytical rigour and business acumen together in one role.

About the Role: Senior Data Scientist, Predictive Modelling

At its core, this position is about building predictive and prescriptive solutions that get embedded into key business decisions. You’ll apply both traditional and machine learning analytics to identify and quantify cause-and-effect relationships, and play a leadership role in delivering the company’s advanced analytics roadmap. The Predictive Modelling team works with a clear mandate: enable best-in-class, data-driven decision making across the enterprise.

Beyond the technical work, you’ll be expected to lead, coach, and influence peers and cross-functional stakeholders. This role demands strong project management skills, the ability to communicate complex findings clearly, and a results-oriented mindset that keeps the business impact front and centre. You’ll serve as a subject matter expert for established model implementations while continuously identifying opportunities to improve forecast accuracy and operational efficiency.

Benefits and Salary

Canadian Tire offers a salary range of $64,000 to $105,000 per year, with final compensation determined by experience, skills, and market conditions. Beyond pay, employees receive comprehensive benefits and retirement programs, performance incentives, and access to continuing education programs. The enhanced flex benefits package includes $5,000 annually in mental health support for eligible employees and their families. Additional perks include product discounts, Canadian Tire Profit Sharing, the Triangle Learning Academy for supported learning, and real career growth opportunities within one of Canada’s largest retail organizations.

Responsibilities

As a Senior Data Scientist on the Predictive Modelling team, your day-to-day work spans the full analytics lifecycle — from exploratory analysis and model development to production deployment and stakeholder communication. These responsibilities are central to helping Canadian Tire make smarter, faster, and more accurate business decisions.

• Build predictive models using statistical and machine learning techniques to identify sales drivers, quantify causal impacts, and support what-if scenario analysis
• Collaborate cross-functionally with Forecasting, Replenishment, Pricing, Promotions, Allocations, Planning, and IT teams to ensure model outputs align with business expertise and are efficiently integrated into processes
• Manage multiple projects simultaneously, ranging from long-term implementations and process improvement initiatives to urgent system support issues and ad-hoc analysis requests
• Proactively surface insights supported by data to improve forecast accuracy and inform key business decisions
• Provide leadership and direction to team members, including training and coaching in advanced analytics methodologies
• Serve as subject matter expert for established model implementations and analytical methodologies within the team

Requirements / Skills

The ideal candidate brings a strong blend of technical data science skills and business acumen, particularly within retail or supply chain environments. Canadian Tire is looking for someone who communicates complex ideas clearly, leads through influence, and is driven by outcomes rather than just outputs.

• 4+ years of experience in data science, modelling, and analytics — experience in merchandising or supply chain is preferred
• University degree in engineering, math, computer science, statistics, business, or a related field; a graduate degree is preferred
• Proficiency in Python, PySpark, and SQL for data science and analytics work
• Experience with machine learning, data transformation/engineering, data validation, visualization, and end-to-end project productionization
• Cloud computing experience for data science; knowledge of Azure and Databricks is considered an asset
• Proven project and time management skills — planning, prioritizing, executing, delegating, and tracking across multiple workstreams
• Strong communication skills, including the ability to present findings and recommendations to both technical and non-technical audiences
• Retail industry knowledge and a business mindset that connects analytical work to real commercial outcomes

How to Apply

To apply, use the official link below to submit your application through Canadian Tire’s careers portal. Make sure your resume is up to date and tailored to highlight your data science and modelling experience before submitting.

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