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
• Robust analytical and presentation skills

Bring your expertise in data science to influence customer engagement and strategic insights at Canadian Tire Corporation.
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📌 Senior Data Scientist In Retail Analytics Ontario
🏢 Canadian-Tire-Corporation,-Ltd.-1
📍 Ontario