Overview
Data Scientist in Retail Analytics Jobs in Toronto, Canada at Canadian Tire Corporation
Elevate retail insights with your analytical expertise as a Data Scientist focusing on customer engagement, loyalty, and program analytics. You’ll design frameworks, conduct advanced statistical modeling, and drive loyalty program efficiency.
This Data Scientist role requires a results-oriented professional with a strong background in statistics, causal models, and experimental design. You will develop a deep understanding of the Retail business, engage cross-functional teams, and generate insights that translate into measurable business value. The position emphasizes collaboration, advanced modeling, and effective communication.
Key Responsibilities:
• Develop market and user-level test designs with success criteria
• Research methodology for study design and sample size calculations
• Collaborate to improve measurement frameworks and business practices
• Construct predictive models to enhance confidence in results
• Validate and analyze test data for compelling narratives
Requirements:
• M.S. or Ph.D. in Statistics, Math, or related fields
• 3+ years in implementing data science solutions
• Proficient in Python, R, or SAS
• 3+ years querying large datasets with SQL or Spark
• Excellent communication skills for explaining complex analyses
Utilize your expertise in data science to shape customer engagement strategies and drive the success of retail initiatives.
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Title: Data Scientist in Retail Analytics
Company: Canadian Tire Corporation
Location: Toronto, Canada
Category: