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 environments 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