Retail Data Scientist: Customer Analytics & Causal Modeling

Canadian Tire; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A prominent Canadian retail corporation is seeking a results-oriented data scientist to support retail and customer analytics. The role involves designing analytical frameworks, performing statistical models, and enhancing customer engagement. Ideal candidates will possess a strong background in statistics and programming languages like Python or R, along with significant experience in data science solutions. This position offers competitive compensation, focusing on career growth within a collaborative environment.

Benefits

Career growth opportunities

Product discounts

Mental health benefits

Qualifications

• 3+ years experience developing and implementing data science solutions.
• Experience in retail businesses or loyalty programs preferred.
• Strong background in statistics, causal models, and experimental design.

Responsibilities

• Develop a deep understanding of Retail business and Marketing programs.
• Build market and user-level test designs with success criteria.
• Collaborate in cross-functional teams to generate insights.

Skills

Data science solutions

Statistical techniques

Communication skills

Education

M.S or PhD in Statistics/Math/Economics

Tools

Python

R

SAS

SQL

Spark

Databricks

Azure Synapse

Job description

A prominent Canadian retail corporation is seeking a results-oriented data scientist to support retail and customer analytics. The role involves designing analytical frameworks, performing statistical models, and enhancing customer engagement. Ideal candidates will possess a strong background in statistics and programming languages like Python or R, along with significant experience in data science solutions. This position offers competitive compensation, focusing on career growth within a collaborative environment.