Lyft is hiring a Data Science Decisions Airports in Toronto!
This Toronto-based Lyft role sits in the Driver organization’s Airports team, where data science supports one of the most complex and consequential parts of the rideshare business. The data scientist will study rider and driver behavior at airports, identify pain points across traveler segments, forecast demand, and evaluate product changes intended to grow airport market share. The position blends rigorous analysis, experiment design, metric development, and cross-functional partnership with product, engineering, and design. The ideal candidate is comfortable moving from large-scale data exploration to clear recommendations for senior stakeholders, and can bring structure to ambiguous marketplace questions while accounting for the distinct dynamics of airport trips.
Key responsibilities
- Build decision frameworks, measurement approaches, and scientific methods that make forecasting and business choices more consistent and rigorous.
- Design and interpret experiments with product and engineering partners, then translate results into launch recommendations for stakeholders.
- Explore large and varied datasets to find patterns, diagnose root causes, and surface opportunities for growth or efficiency.
- Develop metrics that track product health, business performance, and the rider and driver experience.
- Apply an understanding of airport marketplace dynamics to propose product improvements that work alongside Lyft-wide offerings.
- Present analyses, recommendations, and outcomes to senior leadership and cross-functional audiences.
Key requirements
- Degree in a quantitative discipline such as statistics, economics, computer science, engineering, or applied mathematics, or comparable practical experience.
- Four to six or more years in a data science or analytics role.
- Hands-on experience across the data lifecycle, including querying, aggregation, analysis, and visualization that produces reusable insights.
- Practical knowledge of experimentation, including user-based and time-based splits for impact measurement.
- Strong SQL and Python skills for working with large datasets and extracting actionable conclusions.
- Proven ability to own ambiguous, multi-project analytical work with cross-functional partners.
- Excellent communication skills, including concise storytelling and presentation to technical and non-technical audiences.
- Ability to influence, negotiate, and build alignment in a fast-moving environment.
- Seniority: Mid-level to senior (4–6+ years)
- Work mode: Hybrid; at least 3 days per week in the Toronto office, including Mondays, Wednesdays, and Thursdays
- Salary: CAD $108,000 - CAD $135,000
- Key skills: SQL, Python, experimentation, data analysis, forecasting, metrics design, visualization, stakeholder communication, cross-functional collaboration, business acumen
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