Canadian Tire Corporation is seeking a results-oriented Senior Data Scientist to join their Advanced Analytics team in Toronto, ON on a 12-month contract. There are two positions available.

What you'll do:

- Develop a deep understanding of Canadian Tire's Retail business, Loyalty and Credit Card Customers, and Marketing programs.
- Support the development of models and analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness.
- Collaborate in cross-functional teams to generate models, insights, and measurement frameworks that improve business practices and generate measurable business value.
- Scope and structure data science projects while considering business needs and technical constraints.
- Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations used in critical business decisions.
- Support the development of a robust measurement practice using the latest machine learning technologies to provide timely insights.
- Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance.
- Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts.
- Establish necessary data pipelines to deploy AI/ML solutions.




- Act as an active contributor to the analytics strategy within the Advanced Analytics team.

What you bring:

- M.S. or PhD, preferably in Statistics, Math, Economics, Computer Science, or a related quantitative discipline.
- 3+ years of experience developing and implementing data science solutions for retail businesses or loyalty programs.
- Strong background in statistics, optimization, mathematical modelling, and forecasting.
- Proficiency in Python, Spark, R, or SAS.
- 3+ years of experience querying and analyzing large datasets with SQL, Spark, etc.
- Demonstrated understanding of statistical techniques to select the right approach for specific business problems and constraints.
- Familiarity with cloud-based data structures; experience with Databricks and Azure Synapse is an asset.
- Experience with version control systems, particularly Git, preferred.
- 3+ years of experience interpreting, synthesizing, and presenting complex models and analysis to business partners.
- Excellent oral and written communication skills.

Compensation:

$32.00–$53.00/hr. Perks include career growth opportunities, product discounts, Triangle Learning Academy, Canadian Tire Profit Sharing, retirement and savings programs, and mental health benefits of $5,000/year for eligible employees.

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📌 Senior Data Scientist, Customer Analytics and Predictive Modelling (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto