I applied through an employee referral. The process took 2 months. I interviewed at Lyft (San Francisco, CA) in Apr 2024
Interview
The technical phone screen was fully utilized to get a good sense of Lyft as a product and all the stats/probability questions were all also asked keeping in mind Lyft use cases.
Interview questions [1]
Question 1
1.Product sense, metrics and KPI design (read up on Lyft as a product from their blogs)
2. Stats and probability- definitely brush up your basics on different probability distributions (binomial), confidence intervals and significance, p-values, Bayesian inference etc.
3. Experiment design and analysis process
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.
I interviewed with a recruiter last fall. Since I was graduating in eight months, she said she'd talk to the hiring manager about whether to send technical interviews now or hold off for different openings in the future, and would get back to me in a few days. She never followed up and didn't respond to my emails. Eventually, I got an automated rejection, the subject line literally read "Update on [insert job title]," they hadn't even bothered to fill in the job title. The whole process felt unprofessional.