
SurveyMonkey Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 10 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at SurveyMonkey.
Data Scientist
I was the main person involved in the interview process, and it went well. The atmosphere was nice, and they asked some pretty challenging questions, which was good. These kinds of things really help you grow personally and professionally. Let me know if you have any questions!
- Were the questions tough, and was the overall attempt good with a nice environment?
Data Scientist
HR reached out to me for a discussion, which I found to be a very good interview. I clearly explained my projects and resume. After the discussion, which ended on a positive note regarding potential next steps, I received no response for two weeks. Unexpectedly, HR then informed me that the hiring manager deemed my resume unsuitable for the profile and suggested staying in touch. Given my 10+ years of experience at a Fortune 100 company, I've never encountered such a disorganized recruitment process that seemed to waste my time. The interviewer appeared unprofessional and unclear about the role's requirements. I advise others not to waste their time with this company.
- Tell me about your experience and the projects you've worked on.
- Can you elaborate on your background and experience?
- Describe your past experiences using the STAR method.
Data Scientist
The interview process was pretty good and organized. Recruiters set high expectations, saying things like 'you have excellent feedback' in emails and calls. They were nice throughout. However, it didn't lead to an offer, and I was told I was close but another candidate had more experience. I reapplied for a junior role, and again the recruiter acted like I had the job, with only the offer letter left. Then, they suddenly dropped me last minute without even a formal email rejection, ignoring my messages. It seems they keep interviewing until they find someone better, keeping candidates waiting.
- Technical round
- Team presentation round
- Business round
SurveyMonkey Data Scientist Interview Questions
Quoted word for word from SurveyMonkey interview reports.
“What are the advantages of using Bayesian methods for hypothesis testing compared to Frequentist methods?”
Read reports →“How do you approach Gradient Boosting Machines (GBMs)?”
Read reports →“Can you outline an algorithm for identifying spam surveys?”
Read reports →“What are your thoughts on Random Forests?”
Read reports →“Can you explain ML concepts related to classification and regression?”
Read report →“Can you discuss Neural Networks (NNs)?”
Read report →“What aspects of Data Science do you find most inspiring?”
Read report →“Were the questions tough, and was the overall attempt good with a nice environment?”
Read report →“Tell me about your experience with SVMs.”
Read report →Formats, difficulty and experience
Across all 10 SurveyMonkey interview reports.