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 strong 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
- Solid analytical and presentation skills Bring your expertise in data science to influence customer engagement and strategic insights at Canadian Tire Corporation.

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