J'ai postulé via la recommandation d'un employé. Le processus a pris 2 semaines. J'ai passé un entretien chez Lyft en janv. 2019
Entretien
Got an email from a recruiter after submitting the application for me to write a summary of my experiences and send it back to them. After that they scheduled a phone interview (I gave them the time when I am free and they got back with the recruiter name and the time with some questions that we should prepare for, but most of the questions were not asked in the interview).
Questions d'entretien [1]
Question 1
Asked about A/B testing based on their product and what kind of metrics to look at and why. Additional build on top of the first one by adding some complexity.
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.
Questions d'entretien [3]
Question 1
Investigate a 7% monthly active riders drop and a 20% wait-time increase
J'ai postulé via une agence de recrutement. J'ai passé un entretien chez Lyft
Entretien
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
J'ai postulé en ligne. J'ai passé un entretien chez Lyft (Toronto, ON) en juin 2026
Entretien
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.