
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
Candidate interview experiences
First-hand accounts from people who interviewed at Glassdoor.
Data Scientist
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.
- Tell me about a SQL problem you solved.
- Can you walk me through a case study?
- Tell me about yourself and your experience.
Data Scientist
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.
- 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?
Data Scientist
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.
- 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?”
Read reports →“How would you convert strings to binary algorithmically?”
Read reports →“Can you write a function to perform integer division using strings as input?”
Read reports →“How do boosting, bagging, and random forest methods compare?”
Read reports →“What are basic stats and model evaluation metrics?”
Read report →“What are the pros and cons of using various metrics to assess search result performance?”
Read report →“Can you explain the differences between classical regression and classification methods?”
Read report →“To measure a significant proportional difference in a population, what statistical method would you choose?”
Read report →“How can we verify if survey answers were randomly submitted by some individuals rather than genuine responses?”
Read report →Formats, difficulty and experience
Across all 19 Glassdoor interview reports.