Lyft
Data Science, Decisions - Airports
Toronto, Canada +1 · Full-time · Posted Aug 28, 2026
- Location
- Toronto, Canada
San Francisco, California, United States - Experience
- 4-6+ years of industry experience in a data science or analytics role.
- Education
- Degree in a quantitative field such as Statistics, Economics, Computer Science, Engineering, Applied Mathematics, or related discipline; or equivalent practical experience.
About the job
Use data science and experimentation to improve Lyft’s airport marketplace, rider and driver experience, and business growth.
What you'll do
- Develop decision frameworks, metrics, forecasts, and measurement strategies for business decisions.
- Design and analyze experiments, identify opportunities from large datasets, and recommend product or technical changes.
- Present findings and recommendations to stakeholders and leadership, and support launch decisions.
What they ask for
- 4-6+ years of industry experience in a data science or analytics role.
- Proficiency in SQL and Python.
- End-to-end experience querying, aggregating, analyzing, and visualizing data; experience with experimentation, including user and time splits.
- Degree in a quantitative field or equivalent practical experience.
Nice to have
- Advanced degree in a quantitative field.
Pay
CAD $108,000 - CAD $135,000 (base salary)
Tools
SQL, Python
AI focus
Lyft may use artificial intelligence to screen applicants; employees make the ultimate selection and hiring decisions.
Model-written summary · the original posting is authoritative