J'ai postulé en ligne. Le processus a pris plus d'une semaine. J'ai passé un entretien chez Lyft (San Francisco, CA) en juin 2018
Entretien
Interview process was good. HR was quick and responsive. Went through a phone screening, followed by a technical interview and homework assignment.
Phone screening was pretty basic and a run down of my resume.
In the technical round, the interviewer was friendly and polite. Was asked how I would approach finding a solution for a driver-based problem.
Homework assignment was pretty straight forward.
Questions d'entretien [1]
Question 1
What are the different factors that could influence a rise in average wait time of a driver.
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.