Data Scientist Associate at Capital One Canada in Toronto. You will work with cross-functional teams to leverage model solutions to solve complex business problems, using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns, explore proprietary data sources, apply machine learning techniques to build financial risk models and customer behavior insights, and design data pipelines and visualizations to monitor model performance and data quality. The role supports end-to-end project ownership in a hybrid model with 3 days in the office per week and mentorship for early career development.
What they are looking for
Details
- Work type
- Hybrid
- Compensation
- Paid
- Remote eligible
- Yes
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