Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Lyft (San Francisco, CA) en abr 2015
Entrevista
There were two phone screens followed by an onsite visit and a take-home exercise in coding/analysis. The onsite rounds were focused on coding and algorithms. Some of the questions were open-ended and you had to define the problem better while trying to understand it at the same time. That was tough, especially considering that the interviewers had spent a bunch of time thinking about these problems. Overall, very interesting problems and all relevant to Lyft's data science projects. All interviewers were very sharp and quite laid-back too. It was great to talk with them, and seemed to be a friendly environment, and I was sold quickly.
Preguntas de entrevista [1]
Pregunta 1
Background and previous experience with Python and SQL. Previous project that are relevant to Lyft's problems.
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.
Acudí a una entrevista en Lyft (Toronto, ON) en ago 2025
Entrevista
“I completed all interview rounds — including HR, technical screening, product sense, business case, algorithm live coding, decisions live coding, machine learning, and experience interviews — but the company ultimately selected another candidate
Preguntas de entrevista [1]
Pregunta 1
Have a good understanding of stats/probabilities/ML/Coding(SQL,Python), and business domain and metrics.
