Retail Data Scientist: Causal Analytics & Modeling
Canadian Tire Financial Services
Toronto
Job Description
A leading Canadian retailer is seeking a data science professional to support retail and customer analytics. The role involves designing measurement frameworks, performing advanced statistical models, and analyzing customer data to enhance engagement and marketing program efficiency. The ideal candidate holds an M.S or PhD in a quantitative discipline with over 3 years of experience in data science, strong proficiency in programming languages such as Python and R, and a solid understanding of statistical techniques. Competitive pay and growth opportunities are offered.#J-18808-Ljbffr
How to Apply
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Frequently Asked Questions
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This role is with Canadian Tire Financial Services in Toronto.
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This appears to be an on-site role in Toronto.
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