Senior Data Scientist
Core
Develop and maintain predictive models and risk scorecards for credit card customer lifecycle decisioning (acquisition, account management, collections) at Canadian Tire Bank.
Role type
Senior Data Scientist (Credit Risk & Modeling)
Builds
Production risk scorecards, classification models, and customer segmentation schemes for credit decisions.
Domain
Financial Services / Credit Risk / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, predictive modeling, scorecard design, statistical analysis, customer segmentation, SQL, Python, SAS, WOE binning, logistic regression
Preferred skills
Credit risk management, credit card/banking domain, fraud detection, FICO Analytics Workbench, SAS Enterprise Miner, Databricks, XGBoost, scikit-learn, LightGBM
Responsibilities
Lead ML projects for origination and collection strategies; own full-cycle scorecard development; deploy models and monitor scoring activities; perform optimization analysis; create customer segmentation schemes; collaborate with stakeholders to translate business needs into solutions.
Seniority
Senior, hands-on IC
