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Canadian Tire Corporation

Senior Data Scientist, Predictive Modelling

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

What you’ll do

The Senior Data Scientist, Predictive Modelling develops predictive and prescriptive solutions that can be integrated into key enterprise decisions (product forecasting and replenishment, pricing strategy, and promotion optimization). You will conduct traditional and machine learning analytics to identify and quantify cause-and-effect relationships. You will play a key role in the delivery of our advanced analytics roadmap and the development of predictive modelling/machine learning capabilities, while continuing to support the business with traditional analysis and established processes.

The primary responsibilities of this role include:

Use predictive/statistical modelling techniques and traditional analytics to identify and quantify sales drivers, conduct what-if scenario analysis and measure the causal impacts
Work with cross functional teams to ensure model predictions and recommendations are consistent with business expertise, explainable, and efficiently integrated into processes
Plan, track, and manage multiple projects and requests – these initiatives can range from formal long-term project implementations, medium-scale process improvement initiatives, urgent system/tool support issues, or quick ad-hoc analysis requests
Proactively identify opportunities and deliver data-supported insights to help improve the accuracy of forecasts and key business decisions
Provide leadership and direction to the team, including training and coaching in advanced analytics
Act as a subject matter expert for established model implementations and methodologies

Who you are

We are looking for individuals who are:

Action oriented, and comfortable taking calculated risks to better serve our customers and business
Outcome focused, critical thinkers with the ability to analyze and visualize, to ensure continuous improvement across our entire business
Collaborative team players with superior influencing skills, who build relationships easily across various stakeholder groups to move initiatives forward

If you’re curious, ready to take on new challenges and open to doing things differently to help us evolve rapidly, then this is definitely the place to be.

What you bring

The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in a project environment, advanced analytical ability, strong communication skills and the ability to work effectively in a team as well as independently.

4+ years work experience in data science, modelling, and analytics (merchandising or supply chain preferred).
University degree (graduate preferred) in engineering, math, computer science, statistics, business or related field
Proficiency with programming in Python, PySpark, SQL.
Experience with data science disciplines, including machine learning, data transformation/engineering, data validation, visualization, and successfully implementing and productionizing of projects.
Strong analytical, problem solving, and data mining skills with the ability to summarize and deliver actionable insights and recommendations.
Experience with Cloud computing environments for data science. Knowledge of Azure and Databricks would be an asset.
Results-oriented, with proven project and time management skills (planning, prioritizing, executing, delegating, and tracking).
Business mindset with an understanding of the retail industry.
Demonstrated ability to lead, influence, and motivate peers as well as others without direct authority.
Effective written and verbal communication skills, including presentation abilities.

Broadband Salary Range:  $64,000 – 106,000
Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

This posting represents an existing vacancy within our organization.

We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

Apply About employer

More about this job

Responsibilities

The Senior Data Scientist develops predictive and prescriptive solutions to support enterprise decision-making in areas like forecasting, pricing, and promotion optimization. They also lead cross-functional projects, mentor team members, and act as a subject matter expert for advanced analytics methodologies.

Requirements

Candidates must have at least 4 years of experience in data science and analytics, preferably in retail or supply chain environments. A university degree in a quantitative field is required, along with proficiency in Python, SQL, and cloud-based data platforms.

Skills

Predictive modelling
Machine learning
Python
PySpark
SQL
Data science
Data engineering
Data validation
Data visualization
Cloud computing
Azure
Databricks
Project management
Statistical modelling
Analytical ability
Communication

Benefits

Store discounts
Supported learning
Profit sharing
Retirement and savings programs
Flex benefits program
Mental health benefits

Visa sponsorship

Not detected in the job text

Keywords

Predictive Modelling
Machine Learning
Python
PySpark
SQL
Data Science
Data Engineering
Data Validation
Data Visualization
Cloud Computing
Azure
Databricks
Project Management
Statistical Modelling
Retail
Supply Chain
Merchandising
Forecasting
Prescriptive Analytics
Causal Impact
Scenario Analysis
Data Mining
Leadership
Mentoring
Cross-functional Collaboration
Problem Solving
Analytical Ability
Communication Skills
Strategy
Optimization

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