Retail Data Scientist Canadian Tire

Position: Retail Data Scientist with Canadian Tire
As a Retail Data Scientist at Canadian Tire, focus on enhancing customer analytics and loyalty programs. Drive marketing efficiency using advanced statistical techniques and causal models.

The role will require you to apply your knowledge in statistics and machine learning within the retail environment. You will collaborate on cross-functional teams, design comprehensive test protocols, and analyze large datasets using tools like SQL and Databricks. Your contributions will support strategic goals, ensuring that the insights generated lead to measurable business improvements.

Key Responsibilities:

• Design tests for market and user-level analytics

• Construct and validate predictive models for business insights

• Collaborate to improve analytics frameworks and practices

• Analyze complex data from different perspectives

• Present findings and recommendations to stakeholders

Requirements:

• M.S or PhD in a quantitative field like Statistics

• At least 3 years in data science roles, ideally in retail

• Proficiency in Python, R, and SQL for data analysis

• Familiarity with cloud technologies and data manipulation

• Strong communication skills for technical information

Bring your data analysis and modeling expertise to Canadian Tire to enhance customer loyalty and marketing initiatives.
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