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 decisions
Identify sales drivers using statistical and machine learning techniques
Conduct scenario analysis and measure causal impacts
Integrate explainable recommendations with cross functional teams




Train and coach teams in advanced analytics

Requirements:
Four or more years in data science, modelling, and analytics
Degree in engineering, mathematics, computer science, statistics, or business
Proficiency programming with Python, PySpark, and SQL
Experience implementing machine learning projects in production
Experience with cloud computing settings for data science

Apply predictive modelling, machine learning, and advanced analytics to improve Canadian Tire Corporation business decisions.

📌 Senior Predictive Modelling Data Scientist Toronto
🏢 Canadian Tire Corporation
📍 Toronto