Data Scientist

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.

Requirements

• 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.
• 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.

Benefits

• Competitive salaries and wages
• Store discounts
• Supported learning through our Triangle Learning Academy
• Canadian Tire Profit Sharing
• Retirement and savings programs for eligible employees
• Mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families