What You’ll DoLead machine learning projects that drive origination, credit limit, and collection strategies, including managing delivery timelines and coordinating team resources.Own the full-cycle scorecard design and development from initial planning and data sourcing to data modeling and validation.Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage reports, addressing system or procedural issues as they arise.Regularly review and document the predictive effectiveness of various statistical models and recommend appropriate courses of action.Create customer segmentation schemes that provide strategy teams with key customer insights.Collaborate closely with internal customers, retail-side partners, and subject matter experts to understand data, interpret results, translate business needs, and synthesize solutions.Deliver effective presentations of key design elements and model build results to senior management.Work on related tasks and ad‑hoc activities to support business objectives.What You BringUniversity degree in STEM or data science; postgraduate degree in mathematics, statistics, data science, or related disciplines is preferred.Three or more years of professional experience focused on developing predictive scorecards and building ML models from real-world data.



Experience in credit risk management or the credit card industry is an asset.Solid understanding of machine learning steps and modeling metrics is required.Proficiency in SQL, Python, and ideally SAS programming language.Experience with machine learning libraries such as Pandas, XGBoost, scikit-learn, LightGBM, or similar ecosystems.Hands‑on exposure to modeling platforms like Enterprise Miner, Analytics Workbench, or SPSS Modeler is a plus.Comfortable with cloud‑based data structures and tools such as Azure, AWS, and Databricks is a plus.Background in manipulating large relational databases with detailed and granular information.BenefitsComprehensive perks and retirement programs.Performance incentives and continuing education programs.Other perks to support well‑being.Career growth opportunities and product discounts.Broadband Salary Range$64,000 – $106,000. Salary decisions also depend on experience, industry benchmarks, internal equity, and role‑specific requirements.We are committed to fostering an environment where belonging thrives, and diversity, inclusion, and equity are infused into everything we do. We are united in our purpose to help make life in Canada better.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 during the application or interview process, please let us know when contacted and we will work with you to meet your needs.#J-18808-Ljbffr

📌 Senior Decision Scientist - $64,000 - $106,000 A Year (Winnipeg)
🏢 Canadian Tire Corporation
📍 Winnipeg