What you'll do:Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resourcesOwn the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validationDeploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they ariseRegularly review and document the predictive effectiveness of various statistical models and recommend the appropriate course of actionCreate customer segmentation schemes that provide strategy teams with key customer insightsCollaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutionsDeliver effective presentations of key design elements and model build results to senior managementWork on related tasks and ad hoc activities to support business objectivesWhat you bring:University degree in STEM or data science.Postgraduate degree in mathematics, statistics, data science or similar disciplines is preferredThree plus years of skilled experience focused on developing predictive scorecards and building ML models from real-world data.Work in credit risk management or the credit card industry is an assetSolid understanding of machine learning steps and modeling metrics is a mustProficient in SQL, Python and, ideally,



SAS programming languageExperience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM or other similar ecosystemsHands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plusComfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plusBackground in manipulating large relational databases with detailed and granular informationWe're always looking for great talent! In addition to competitive pay, we offer:Comprehensive benefits and retirement programsPerformance incentives, Continuing Education ProgramsOther perks to support your well-beingCareer growth opportunities and product discountsBroadband Salary Range: $53,000 – $88,000.Our typical hiring range is between $53,000 and $70,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.This posting represents an existing vacancy within our organization.We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.About UsAt Canadian Tire Services Limited/Canadian Tire

📌 Data Scientist (Oakville)
🏢 Canadian Tire
📍 Oakville