Data Scientist, Modeling and Experimentation - 2 Year Contract
Company: Canadian Tire Corporation
Location: Toronto, Ontario
Posted: 2026-02-02
About this role
We are seeking a results-oriented senior data science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to design and deliver analytical measurement frameworks for AB experiments, perform advanced statistical models, build causal inference frameworks, and perform customer and program analytics. The successful candidate will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Experiments, models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. Strong background in statistics, causal models and experimental design preferred.
What You’ll Do
- Develop a deep understanding of our Retail business, Loyalty, Store Operations, and Marketing programs.
- Build comprehensive market, store and user-level test designs with explicit success criteria.
- Research statistical methodology to aid in protocol development (study design and sample size calculation) and analyses planning.
- Collaborate in cross-functional teams to generate insights and test measurement frameworks that improve business practices and generate measurable business value.
- Construct and improve AB test design and predictive models to reduce test costs and improve result confidence.
- Validate, analyze and investigate test data from multiple perspectives to weave compelling fact-based narratives.
- Develop statistical, causal, and machine learning models to improve customer engagement and marketing program performance.
- Act as an active contributor to the analytics strategy within the Advanced Analytics team.
What You Bring
- M.S or PhD, preferably in Statistics/Math/Economics or a related quantitative discipline.
- 3+ years experience developing and implementing data science solutions. Experience in retail businesses, or loyalty programs preferred.
- Proficiency in using industry standard programming languages, including...