Enhance customer loyalty and analytics at Canadian Tire Corporation as a Senior Data Scientist. Focus on advanced statistical modeling, deep learning, and marketing effectiveness.

This senior role is designed for a data science expert with a solid background in statistics, having at least 7 years of relevant experience. You will play a significant part in developing analytical frameworks that drive retail and loyalty initiatives while collaborating with various teams. An M.S. or PhD in a quantitative discipline is required, with expertise in programming languages and data querying tools.

Key Responsibilities:



• Lead the design and delivery of analytical measurement frameworks • Build predictive models to optimize marketing programs • Analyze test data to create data-driven narratives • Develop and improve agentic AI solutions for workflows • Collaborate cross-functionally to generate actionable insights

Requirements: • M.S. or PhD in Statistics, Computer Science, or related • 7+ years in data science within a retail context • Proficiency in Python, R, SQL, and Spark • Experience with cloud-based data architecture • Strong analytical and presentation skills

Bring your expertise in data science to influence customer engagement and strategic insights at Canadian Tire Corporation. #J-18808-Ljbffr

📌 Senior Data Scientist in Retail Analytics (Toronto)
🏢 Canadian-Tire-Corporation,-Ltd.-1
📍 Toronto