Lead predictive modeling initiatives as a Senior Data Scientist specializing in customer analytics. Enhance engagement and effectiveness of marketing programs with your data expertise.

As part of the Advanced Analytics team, you will delve into customer and retail data, generating insights that will inform critical business decisions. The role includes developing and analyzing complex models, implementing machine learning solutions, and collaborating with various teams to align strategies with business needs. Your work will help shape a strong measurement practice and optimize loyalty program performance.

Key Responsibilities:
• Develop models that enhance customer loyalty and engagement
• Analyze customer data for actionable insights




• Work collaboratively on analytics projects
• Build necessary pipelines for machine learning
• Communicate findings to business units

Requirements:
• M.S. or PhD in Statistics, Computer Science, or related
• Over 3 years in data science for retail
• Robust statistical and modeling background
• Proficiency in SQL and large data handling
• Familiarity with cloud-based tools including Databricks

Shape the future of marketing strategies and customer programs through impactful analytics and deep data insights.
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📌 Customer Analytics Data Scientist Role (Ontario)
🏢 Canadian Tire Corporation
📍 Ontario