J'ai postulé via la recommandation d'un employé. Le processus a pris 1 semaine. J'ai passé un entretien chez Lyft (Seattle, WA) en mars 2018
Entretien
It helps to know someone in the company to fast track you to a recruiter and interview. After the phone screen about the role/potential fit, they send you a dataset to analyze in a 24 hour window. If they like your submission, they ask you to come in for a presentation of your work, in which they grill you on the assumptions you made in your analysis.
Questions d'entretien [1]
Question 1
How did you make the conclusion that this data was valid for your intended analysis>?
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.