Predictive modelling drives enterprise decisions for this Senior Data Scientist role in Toronto, focused on Python, PySpark, and SQL analytics.

At Canadian Tire Corporation, you will develop predictive and prescriptive solutions for forecasting, replenishment, pricing, and promotion optimization. You will combine machine learning with traditional analytics to quantify sales drivers and causal impacts. The position supports advanced analytics capabilities and established business processes.

Key Responsibilities:

- Develop predictive and prescriptive solutions for enterprise decisions
- Conduct what-if analysis and measure causal impacts
- Integrate explainable recommendations with cross-functional teams
- Manage projects, process improvements, support issues, and analyses




- Coach teams in advanced analytics methodologies

Requirements:

- Four-plus years in data science, modelling, and analytics
- University degree in mathematics, statistics, engineering, or related field
- Programming proficiency in Python, PySpark, and SQL
- Experience with machine learning and productionized data science projects
- Advanced analytical, communication, and project management skills

Apply predictive modelling, machine learning, and business analysis to strengthen Canadian Tire Corporation’s enterprise decisions in Toronto.

📌 Senior Predictive Modelling Data Scientist (Canada)
🏢 Canadian Tire Financial Services
📍 Canada