Senior Data Scientist

Own and ship production machine-learning models for transaction categorization, reversal detection, multilingual NER, payments risk, balance forecasting, and financial data enrichment. The role focuses on model quality and lifecycle management on a shared data platform.

Responsibilities

• Own ML models end to end, from problem framing and design/RFC through training, deployment, and production monitoring.
• Build model training pipelines and package models for serving on the shared platform.
• Monitor model drift and performance and decide when to retrain.
• Design rigorous evaluations using experimental design, statistical validation, drift detection, and champion-challenger promotion.
• Collaborate with Data Engineering, backend, product, and QA on contracts, deployment, and rollout.
• Connect model improvements to risk reduction, enrichment accuracy, customer adoption, operational efficiency, and revenue.
• Use AI-assisted development to accelerate implementation and experimentation.

Requirements

• 6-8 years building and shipping machine-learning models, including taking models to production.
• Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
• Production-grade Python skills.
• Ability to take a model independently to a live, monitored service.
• Solid data science and machine-learning foundation.
• Legally authorized to work in Canada.

Benefits

• Health & Dental coverage as of Day 1
• Flexible Paid Time Off (FTO)
• Remote work environment with frequent in-person gatherings and activities
• Career development, learning opportunities and growth