What You’ll DoLead 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 BringUniversity degree in STEM or data science. Postgraduate degree in mathematics, statistics, data science or similar disciplines is preferredThree plus years of professional 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 informationBenefitsComprehensive perks and retirement programsPerformance incentives, Continuing Education ProgramsOther perks to support your well‑beingCareer growth opportunities and product discountsSalary Broadband Salary Range: $64,000 – $106,000. Our typical hiring range is between $64,000 and $85,000. 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.Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.Accommodations We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity‑seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.#J-18808-Ljbffr

📌 Senior Credit Risk Data Scientist - $64,000 - $106,000 A Year (Oakville)
🏢 Canadian Tire Corporation
📍 Oakville