Data Scientist, Payments & Fraud Integrity
Summary
Build ML models and analyze signals to prevent fraud in Lyft’s payments systems while balancing rider and driver experience.
Lyft is seeking a Data Scientist for the Pay, Integrity & Identity org in Toronto. You will run experiments, build ML models, and analyze signals to prevent fraud while maintaining a positive rider and driver experience.
Ideal candidates have 4–6 years in data science, strong SQL, and Python or R skills, plus clear communication to cross-functional partners. This role is hybrid, with in-office presence required several days a week in Toronto.