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Lyft Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 83 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
38.6% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Lyft.

Showing 3 of 83
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Data Scientist Intern

Analytics · nearly a year ago

Intern Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Behavioral Technical

It was a great experience, the recruiters were friendly, and I felt like a good fit. However, I didn't receive an offer. The interview process took about a month, which felt too long. The feedback from the recruiter wasn't clear, so I don't know how to improve.

Confirmed questions2 questions
  • Could you describe your background?
  • How have you handled situations where you disagreed with others?
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Lyft

Data Scientist

Analytics · nearly a year ago

Senior Average Negative experience No offer 4 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Technical Coding Case Behavioral

I went through the entire onsite interview process, which involved several stages. The interviews themselves were well-structured, covering SQL, Python, product/decision science, and behavioral aspects. The team I met was sharp and engaging. However, after the final interview, communication completely broke down. The recruiter initially said a decision would be made in 2-3 days, but I heard nothing for over 4 weeks despite my follow-ups. Interestingly, the job was reposted on LinkedIn during this time, with no update for me. Eventually, I got a generic rejection email. It was disappointing and unprofessional that there was no transparency or accountability at the end, especially after I'd put in so much time. Lyft could really improve by respecting candidates' time and giving timely, honest feedback.

Confirmed questions4 questions
  • SQL questions
  • Probability questions
  • Case study questions
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Lyft

Data Scientist

Analytics · more than a year ago

Mid Average Positive experience No offer 4 rounds
Interview process
Take home Presentation Technical screen Background check
Interview formats
Case Behavioral Technical Presentation

I had a good interview experience and learned a lot about how the business operates, including its revenue and business models. The bar for this role is high, and unfortunately, I was rejected because my communication wasn't as effective and concise as they were looking for regarding the high-level essence of this role, even though I performed well in other areas.

Confirmed questions6 questions
  • Did you work on product cases?
  • Did you work on business cases?
  • Did you answer behavioral questions?

Lyft Data Scientist Interview Questions

Quoted word for word from Lyft interview reports.

What is the expected value if the probability of using a coupon is p, there are n people with coupons, and the coupon is worth $5?

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If $5 coupon is given to N riders, and the probability of using coupon is P, what is the probability that one of the coupons will be used?

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There are 2 riders. Both have coupon. Given that at least one of them uses a coupon, what is the probability that both uses the coupon?

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If $5 coupon is given to N riders, and the probability of using coupon is P, what is the expected spending?

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What is the expected coupon spend if you give N riders, each with a probability P of using it, a $5 coupon?

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If one coupon is used, what is the probability that a second person also uses a coupon (meaning both use it)?

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Given that the probability of taking a ride to the office is p, and the probability of taking a ride back home is 2p if the driver took you to the office, but only p otherwise, what's the likelihood the driver chooses Lyft for the return trip?

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If there's demand in a specific area but riders aren't taking rides, what could explain this situation?

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In the above question we assumed that the events of using the coupon are independent. In what case our assumption would be incorrect?

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Formats, difficulty and experience

Across all 83 Lyft interview reports.

Interview formats

Technical 38.5%
Behavioral 21.6%
Coding 15.9%
Case 12%
Presentation 7.7%

Interview difficulty

Easy 6%
Average 66.3%
Difficult 27.7%

Candidate experience

Positive 38.6%
Negative 22.9%
Neutral 38.6%