Machine learning and retail analytics shape this Senior Data Scientist position in Toronto, using Python, PySpark, and SQL to improve business decisions.
Canadian Tire Corporation seeks a senior data scientist to expand predictive modelling and machine learning capabilities. You will support product forecasting, replenishment, pricing strategy, and promotion optimization through traditional and advanced analytics. The work requires explainable recommendations, cross-functional influence, and effective project delivery.
Key Responsibilities: Identify sales drivers through statistical and machine learning techniques
Deliver data-supported insights improving forecast accuracy
Ensure model recommendations align with business expertise
Track long-term implementations and urgent analytical requests




Provide subject matter expertise for established models
Requirements: Four-plus years of data science, modelling, and analytics experience
Experience in merchandising or supply chain preferred
Knowledge of data transformation, validation, visualization, and mining
Cloud computing experience; Azure and Databricks are assets
Ability to lead, influence, and motivate without direct authority
Bring machine learning, retail understanding, and influencing skills to Canadian Tire Corporation’s predictive analytics work in Toronto.

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📌 Machine Learning Scientist Retail Analytics (Ontario)
🏢 Canadian Tire Financial Services
📍 Ontario