Tackling a case involving a significant drop in monthly active riders kicked off the technical round, which felt quite intense. Then there was a probability question about commuter ride behavior, followed by an experiment design challenge focusing on marketplace balance. The behavioral portion was equally rigorous. Overall, it took about five weeks. Funny enough, I had spent the previous weekend pouring through the case-study section on PracHub, and it really helped me feel prepared. In the end, the process was tough but rewarding, and I’m glad to say I accepted the offer.
Preguntas de entrevista [3]
Pregunta 1
Investigate a 7% monthly active riders drop and a 20% wait-time increase
Solicité el puesto a través de una agencia de empleo. Acudí a una entrevista en Lyft
Entrevista
The first round is good, but the second round they asked me something about conditional probability, and ask you to solve a real problem within some time. It made me feel nervous, with two people staring at you
Envié una solicitud electrónica. Acudí a una entrevista en Lyft (Toronto, ON) en jun 2026
Entrevista
They scheduled an screening interview and then scheduled for a technical data science interview mostly on experimentation and stats + prob. They sent a blog about the interview which is basically about how to answer their questions.