Join Canadian Tire as a Credit Risk Data Scientist, where you'll leverage data to optimize customer engagement. This role focuses on developing predictive analytics and machine-learning models aimed at maximizing credit portfolio performance.

As part of the Credit Risk Division, you will contribute to the strategic decisions around credit risk. Your role involves building customer insights through data analysis, facilitating informed decisions on marketing promotions and recent account evaluations. Experience and creativity are key as you work with diverse data sets.

Key Responsibilities:



• Design machine-learning models to predict customer behavior • Inform new account adjudication strategies with data insights • Develop robust model deployment techniques and performance tracking • Execute ad-hoc analytics to support business objectives • Advise on feasibility and impact of new predictive models

Requirements: • Post-secondary education in relevant fields • Proficient in Python, SAS, or R programming • Familiarity with statistical modeling and data mining • Experience with MS Office Suite, particularly Excel • Creative and goal-driven with exceptional attention to detail

Use your analytical talents to advance customer relations at Canadian Tire. #J-18808-Ljbffr

📌 Data Scientist in Credit Risk Analytics (Winnipeg)
🏢 SportChek
📍 Winnipeg