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Glassdoor Data Scientist Interview Questions
& Process

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

Based on 19 interview experiences · FREE TO READ

4.7 Rounds average
Average Typical difficulty
63.2% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Glassdoor.

Showing 3 of 19
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Glassdoor

Data Scientist

Analytics · a year ago

Mid Average Positive experience Accept offer 4 rounds
Interview process
Phone screen Onsite Panel Onsite
Interview formats
Technical Case Behavioral

I interviewed with Glassdoor and went through 4 rounds: a phone screen, a hiring manager interview, a panel interview, and a final interview with the director. Overall, the experience was excellent. The entire process was very well-organized and efficient, which I really appreciated. Every interviewer was kind, professional, and genuinely interested in me as a candidate. "Good people" isn’t just a slogan—it’s part of their culture. I highly recommend Glassdoor to anyone looking for new opportunities.

Confirmed questions3 questions
  • Tell me about a SQL problem you solved.
  • Can you walk me through a case study?
  • Tell me about yourself and your experience.
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Glassdoor

Data Scientist

Analytics

Senior Difficult Positive experience Accept offer 5 rounds
Interview process
Recruiter call Technical screen Take home Onsite
Interview formats
Technical Coding Presentation Case

The whole process was super organized and transparent, and everyone I met was really friendly. The interview was tough but fair, no hidden tricks. I had to travel to MV for the final in-person interviews, and they handled all the travel logistics smoothly. It went like this: first, an HR/recruiter phone call, then a technical screen with live SQL coding, followed by a technical exercise involving data viz, modeling, and making recommendations based on analysis. The final step was an in-person interview in Mill Valley, about 6 hours long with 5 separate sessions, plus one remote call with the Chicago team. They really value company culture, and I learned a lot about work/life balance and team dynamics without even asking directly. The interviewers had a genuine positive vibe. Most of the in-person interviews involved technical case studies or discussing hypothetical business problems, as they were upfront about the role's business focus. My only slight concern was that most interviewers were men.

Confirmed questions2 questions
  • How would you assist product managers in evaluating changes to a user experience flow, specifically for a monthly subscription's lead-to-sign-up process, to boost subscription numbers?
  • For a given UX flow leading to monthly subscription sign-up, how can you help product managers test enhancements aimed at increasing subscriptions?
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Glassdoor

Data Scientist

Analytics

Senior Average Neutral experience No offer 3 rounds
Interview process
Take home Technical screen Onsite
Interview formats
Technical Coding Behavioral

My application got lost because of a recruiter change. Some people didn't do the take home assessment, which didn't really help me since I was rejected at the final stage for lack of experience. I felt like I was rejected because I didn't 'sell' my experience enough. They also have a DEI policy where they wait to send offers until a diverse candidate reaches the final stage, which made me wonder if I was just a box-checking interview. The data scientist I talked to was open about her work, which was nice.

Confirmed questions3 questions
  • Can you answer some SQL questions?
  • What are your thoughts on experiment size?
  • How do you approach AB testing?

Glassdoor Data Scientist Interview Questions

Quoted word for word from Glassdoor interview reports.

If you roll two dice, what is the probability of the sum being 10?

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Can you write a function to perform integer division using strings as input?

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How do boosting, bagging, and random forest methods compare?

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What are the pros and cons of using various metrics to assess search result performance?

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Can you explain the differences between classical regression and classification methods?

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To measure a significant proportional difference in a population, what statistical method would you choose?

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How can we verify if survey answers were randomly submitted by some individuals rather than genuine responses?

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Formats, difficulty and experience

Across all 19 Glassdoor interview reports.

Interview formats

Technical 30%
Behavioral 21.7%
Case 18.3%
Coding 16.7%
Presentation 11.7%

Interview difficulty

Easy 5.3%
Average 89.5%
Difficult 5.3%

Candidate experience

Negative 15.8%
Positive 63.2%
Neutral 21.1%