As a Senior Data Scientist in the Advanced Analytics and Modelling team, you will support the development of machine learning and other mathematical models and solutions in the areas of pricing and promotional optimization, loyalty incentive curation and optimization, as well as enterprise price‑value scenario orchestration engines to power the next phase of our growth across all of CTC's businesses. This role is critical to the execution of our bold True North strategy and will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency.
What You’ll Do Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs.
Develop, implement and document advanced quantitative and statistical models on retail, customer and loyalty data to build solutions and generate timely insights with the purpose of executing on business strategic objectives (increase customer engagement, marketing program efficiency, and loyalty program effectiveness) and improving existing business processes.
Build and deploy Machine Learning/Deep Learning models which can adapt to constantly evolving data and problem sets.
Scope and structure data science projects while considering business needs and technical constraints.
Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations which will be used in making critical business decisions that enhance business performance.
Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts.
Establish necessary data pipelines to deploy AI/ML solutions.
Act as an active contributor to the Advanced Analytics and Modelling team and the broader analytics community at CTC.




What You Bring Graduate degree (PhD preferred) in Statistics/Math/Economics/Engineering/Computer Science or a related quantitative discipline.
3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs.
Familiarity with optimization methods, including linear programming and mixed integer programming related algorithms &…; tools such as Simplex, Gurobi, Hexaly, etc.
Familiarity with optimization constraint setting and relaxation, balancing time to solution while maintaining guardrails.
Robust background in statistics, optimization, mathematical modelling and machine learning.
Advanced proficiency with Python as an analytical tool and programming language.
3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
Demonstrated understanding of statistical/mathematical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.
Familiarity with cloud-based data structures including tools to extract, manipulate and transform data within the cloud.
Experience with Databricks and Azure Synapse is an asset.
3+ years interpreting, synthesizing, and presenting complex models and analysis to business partners.
Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills.
Demonstrated confidence and clear presentation style.
Compensation Our typical hiring range is between $32.82 per hour and $54.34 per hour. Salary decisions are also dependent on other factors such as your experience, job‑related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role‑specific requirements.
Benefits Career growth opportunities and product discounts.

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📌 Senior Data Scientist, Advanced Analytics and Modelling - 2 Year Contract (Ontario)
🏢 Canadian Tire Corporation
📍 Ontario