Data Scientist

Canadian Tire; Toronto; On-site; CAD 64,000 - 106,000; Full time

Job summary

A leading Canadian retailer is looking for a Data Scientist to join their Triangle Data Products team. This role involves building machine learning models for personalization and customer engagement, analyzing datasets, and collaborating with engineering teams. Candidates should have a solid foundation in Python and SQL, experience in data science, and a willingness to learn advanced ML skills. The company offers competitive salaries along with comprehensive benefits including mental health support and career growth opportunities.

Benefits

Comprehensive benefits and retirement programs

Performance incentives

Continuing Education Programs

Career growth opportunities

Product discounts

Qualifications

• 2+ years of experience in data science or applied machine learning.
• Strong Python skills with exposure to ML libraries.
• Solid SQL skills and comfort working with large datasets.
• Understanding of core ML concepts: regression, classification, validation.
• Curiosity and willingness to learn deeper modeling skills.

Responsibilities

• Support the development of machine learning models for offer personalization.
• Explore and analyze large datasets to uncover insights.
• Build prototypes and contribute to model validation.
• Work with engineering teams to integrate models into production.

Skills

Python

SQL

Machine Learning

Analytical Communication

Problem Solving

Tools

Airflow

Docker

GCP

Azure

Job description

We’re looking for a Data Scientist to join our Triangle Data Products team. You’ll help build and enhance models that drive targeted offers, recommendations, and customer engagement for millions of loyalty members. This role is ideal for someone early in their career who wants to grow into applied ML, experimentation, and production systems.

WhatYou’llDo:

• Support the development of machine learning models for offer personalization, customer propensity, next-best-product, and related use cases.
• Explore, clean, and analyze large datasets to uncover insights and trends.
• Build prototypes, run experiments, and contribute to model evaluation and validation.
• Work with engineering teams to integrate models into production pipelines.
• Help maintain and optimize existing ML workflows (Airflow, Dataproc, on-prem clusters, or cloud platforms).
• Build dashboards and reports that communicate findings to business partners.
• Participate in code reviews and follow team best practices.

What You Bring:

• 2+ years of experience in data science or applied machine learning.
• Strong Python skills with exposure to ML libraries (e.g., scikit-learn, XGBoost, LightGBM).
• Solid SQL skills and comfort working with large datasets.
• Understanding of core ML concepts: regression, classification, validation, feature engineering.
• Curiosity, problem-solving ability, and willingness to learn deeper modeling and production skills.
• Ability to communicate analytical findings clearly and concisely.
• Exposure to recommendation systems or marketing analytics is an asset.
• Experience with A/B testing or experiment analysis is an asset..
• Familiarity with Airflow, Docker, cloud compute (GCP/Azure), or distributed systems is an asset.
• Knowledge of embeddings, uplift modeling, or personalization frameworks is an asset.

We’re always looking for great talent! In addition to competitive pay, we offer:

• Comprehensive benefits and retirement programs
• Performance incentives, Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts

Our typical hiring range is between $64,000 and $106,000 Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements.

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies.With more than 90 Owned Brands, 1,700 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.