Posted: June 2, 2026
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Senior Decision Scientist, Credit Risk - Oakville, ON is listed at Canadian Tire in Oakville. The Beaver Board aggregates this opening from the employer's career page — apply using the button below to reach the official application. Browse more jobs at Canadian Tire.
Canadian Tire is seeking a Senior Decision Scientist to lead advanced analytics projects focused on enhancing financial solutions for our valued customers. This pivotal role in Oakville, Ontario, involves spearheading machine learning initiatives that directly influence origination, credit limit management, and collection strategies. You will play a crucial part in the full lifecycle of scorecard design and development, from initial planning and meticulous data sourcing to sophisticated data modeling and rigorous validation. This position demands a keen understanding of predictive analytics and a commitment to leveraging data-driven insights to optimize business outcomes.
As a Senior Decision Scientist, you will be instrumental in deploying new models and implementing essential updates, ensuring seamless data transfers, overseeing scoring activities, and managing comprehensive reports. Regular review and documentation of the predictive effectiveness of various statistical models will be a core responsibility, requiring you to recommend appropriate courses of action based on your expert analysis. Furthermore, you will be tasked with creating insightful customer segmentation schemes that empower strategy teams with key customer understanding. Collaboration is vital in this role; you will work closely with internal customers, retail-side partners, and subject matter experts to interpret complex data, translate business needs, and synthesize innovative solutions. Delivering effective presentations of key design elements and model build results to senior management is also a critical aspect of this role, showcasing your ability to communicate complex technical information clearly and concisely.
To thrive in this role, candidates should possess a university degree in a STEM field or data science, with a postgraduate degree in mathematics, statistics, or a similar discipline being highly preferred. Three plus years of professional experience are required, specifically focused on developing predictive scorecards and building robust machine learning models from real-world data. Experience in credit risk management or the credit card industry is considered a significant asset. A solid understanding of machine learning steps and modeling metrics is a must, alongside proficiency in SQL, Python, and ideally, SAS programming language. Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench, or SPSS Modeler is a plus, as is comfort with cloud-based data structures and tools such as Azure, AWS, and Databricks. Your background should demonstrate a proven ability to manipulate large relational databases containing detailed and granular information, critical for effective data-driven decision making and the development of sophisticated models.
Canadian Tire is committed to fostering an environment where belonging thrives, offering comprehensive benefits, performance incentives, and continuing education programs to support your professional learning and well-being. We are dedicated to creating innovative and rewarding financial solutions for our customers and believe in building diverse teams. Join us in Oakville and contribute to making life in Canada better.
