Dive into the world of data science at Canadian Tire as a Credit Risk Data Scientist. This role emphasizes machine learning models to enhance customer relationships and drive profitability in our credit card portfolio.
Reporting to the Manager of Modeling & Segmentation Analytics, you’ll focus on designing and executing strategic credit risk decisions. This position requires expertise in analyzing customer behavior and developing predictive models to inform critical business strategies such as credit limit assignments and marketing promotions.
Key Responsibilities:
• Analyze credit card customer data to strengthen relationships • Execute machine-learning models predicting customer behavior • Design and implement credit risk strategies and metrics • Validate and evaluate predictive models through robust metrics • Perform ad-hoc analytical requests and insights
Requirements: • Enrolled in Mathematics, Statistics, or Computer Science program • Robust analytical, mathematical, and problem-solving skills • Programming experience in Python/SAS/R • Familiarity with data manipulation libraries like pandas • Excellent attention to detail and communication skills
Leverage your skills in Python and analytics to innovate Canadian Tire's credit strategies. #J-18808-Ljbffr