Senior Data Scientist — AB Testing & Causal Modeling

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

Job summary

A leading retail company in Toronto is seeking a Senior Data Scientist to design analytical frameworks for customer analytics and program optimization. The ideal candidate should hold an M.S or PhD in a quantitative discipline and have over three years of experience in data science, particularly in retail settings. Required skills include proficiency in programming languages such as Python, R, and SQL, as well as strong statistical analysis capabilities. This position offers competitive pay and growth opportunities in a collaborative environment.

Benefits

Career growth opportunities

Product discounts

Mental health benefits

Qualifications

• 3+ years experience developing data science solutions.
• Experience in retail businesses is preferred.
• Familiarity with cloud-based data structures.

Responsibilities

• Develop a deep understanding of Retail business and Marketing programs.
• Collaborate in cross-functional teams to generate insights.
• Develop statistical and machine learning models for customer engagement.

Skills

Statistical analysis

Causal inference

Machine learning

Communication skills

Data manipulation

Education

M.S or PhD in Statistics/Math/Economics

Tools

Python

R

SAS

SQL

Spark

Databricks

Azure Synapse

Job description

A leading retail company in Toronto is seeking a Senior Data Scientist to design analytical frameworks for customer analytics and program optimization. The ideal candidate should hold an M.S or PhD in a quantitative discipline and have over three years of experience in data science, particularly in retail settings. Required skills include proficiency in programming languages such as Python, R, and SQL, as well as strong statistical analysis capabilities. This position offers competitive pay and growth opportunities in a collaborative environment.