Lead predictive modelling and machine learning analytics at Canadian Tire Corporation, Limited, supporting product forecasting, pricing, and promotions.
As a Senior Data Scientist, Predictive Modelling, you will develop predictive and prescriptive solutions for enterprise decisions. You will combine Python, PySpark, SQL, and traditional analytics to identify sales drivers and causal impacts. Your work supports advanced analytics capabilities and established business processes.

Key Responsibilities




Develop predictive and prescriptive solutions for enterprise decisionsIdentify sales drivers using statistical and machine learning techniquesConduct scenario analysis and measure causal impactsIntegrate explainable recommendations with cross functional teamsTrain and coach teams in advanced analyticsRequirements: Four or more years in data science, modelling, and analyticsDegree in engineering, mathematics, computer science, statistics, or businessProficiency programming with Python, PySpark, and SQLExperience implementing machine learning projects in productionExperience with cloud computing environments for data scienceApply predictive modelling, machine learning, and advanced analytics to improve Canadian Tire Corporation business decisions. #J-18808-Ljbffr

📌 Senior Predictive Modelling Data Scientist (Winnipeg)
🏢 Canadian Tire Corporation
📍 Winnipeg