I applied online. The process took 1+ week. I interviewed at Lyft (San Francisco, CA) in Jun 2018
Interview
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.
Interview questions [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.
Interview questions [3]
Question 1
Investigate a 7% monthly active riders drop and a 20% wait-time increase
I applied through a staffing agency. I interviewed at Lyft
Interview
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
I applied online. I interviewed at Lyft (Toronto, ON) in Jun 2026
Interview
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.