Lyft is hiring a Data Scientist Decisions Payments in Toronto!
Lyft is hiring a Data Scientist for its Pay, Integrity & Identity organization in Toronto. The role focuses on making driver payouts accurate, fast, and fair while safeguarding the payment platform. You would work with engineers, product managers, analysts, and other scientists to design experiments, develop statistical and machine-learning solutions, and turn large-scale payment and driver signals into decisions. The position suits someone who is detail-oriented, curious, and comfortable communicating complex findings to cross-functional stakeholders. Experience in fintech, fraud, or identity is advantageous. The role is hybrid, based in the Toronto office at least three days per week.
Key responsibilities
- Design and evaluate A/B tests with product and engineering partners, then translate results into launch recommendations.
- Apply statistical methods and build machine-learning models to answer product and business questions.
- Investigate large datasets to find behavioral patterns, anomalies, and root causes.
- Work with product managers, engineers, and operations staff to convert insights into actions.
- Create data pipelines and analytical frameworks for tracking product and business health.
- Define metrics that reflect product performance and the driver and passenger experience.
- Present findings clearly to stakeholders and support cross-functional decision-making.
Key requirements
- Degree in statistics, economics, applied math, operations research, engineering, or a related quantitative field; advanced degree preferred, or equivalent experience.
- Four to six or more years of industry experience in data science or analytics.
- Strong SQL skills for efficient queries against large datasets.
- Programming experience with data science and visualization tools in Python or R.
- Proven ability to communicate orally and in writing and influence cross-functional partners.
- Fintech, fraud, or identity experience is preferred.
- Seniority: Mid-senior (4–6+ years)
- Work mode: Hybrid; at least 3 days per week in the Toronto office
- Salary: CAD $108,000-$135,000
- Key skills: SQL, Python, R, A/B testing, statistics, machine learning, data pipelines, data visualization, communication
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