J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Lyft en nov. 2023
Entretien
A quick call with the recruiter, followed by a technical round having all the probability and product questions, A/B test questions . I thought the interview went very well since the interviewer also sounded like he agrees with the answers. I gave the interview at odd times since I was in a different timezone at that time. I did not even receive any update even after following up with the recruiter multiple times.
Autres retours d’entretien d’embauche pour un poste comme Data Scientist chez Lyft
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.