Recruiter screen, hiring manager video, case study on launching a new market, behavioral, and final with regional director. Ops at Lyft is high-judgment, fast-moving.
Walk me through launching service in a new market.
Tell me about handling a market crisis (e.g. weather, regulation).
Describe partnering with the legal team on a regulatory issue.
How do you balance national consistency vs. local market needs?
Data Scientist
virtual
· Dificultad 4/5
Recruiter screen, technical phone (SQL + stats), virtual onsite with case study on dynamic pricing, ML deep-dive, behavioral, and team-fit. Pricing DS at Lyft is one of the strongest applied-economics teams in tech.
Walk me through an experiment on a pricing change.
Tell me about a model where the obvious solution was wrong.
Describe partnering with PM on a controversial pricing decision.
How do you handle pricing fairness as a quantitative practitioner?
Product Manager
virtual
· Dificultad 4/5
Recruiter screen, hiring manager call, product-sense round (improve driver retention), analytical, cross-functional, and exec final. Driver PM at Lyft is one of the most contentious and consequential roles.
Walk me through balancing driver pay vs. rider price sensitivity.
Tell me about a launch that improved driver retention.
Describe handling driver feedback when product priorities differ.
How do you measure success for a driver-facing feature?