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Grubhub Data Scientist Interview Questions
& Process

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

Based on 9 interview experiences · FREE TO READ

1.9 Rounds average
Average Typical difficulty
22.2% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Grubhub.

Showing 3 of 9
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Grubhub

Data Scientist

Analytics · more than a year ago

Entry Easy Positive experience No offer 2 rounds
Interview process
Recruiter call Phone screen
Interview formats
Technical

I got contacted by the interviewer via linkedin and then we had a phone screen. The team looked like a fun group but I decided not to move forward because I had other offers that were a better fit for my interests.

Confirmed questions1 question
  • How would you compute monthly averages from a satay table?
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Grubhub

Data Scientist

Analytics

Executive Average Negative experience No offer 1 round
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Technical Behavioral

This was similar to another data science interview I had, but I'm an experienced pro with over 10 years in the field. Honestly, this interview felt super unprofessional. The interviewer was really adversarial and hostile, and sometimes didn't even seem to be listening. They'd ask something like 'explain how gradient descent works,' I'd answer, and they'd hit back with 'you didn't say the word derivative.' They also critiqued my explanation of a statistical learning method, confusing it with another method themselves. This pattern of them being wrong and trying to correct me kept happening. I tried to be diplomatic at first, but it was a lost cause. I ended the interview early because I don't want to work with hostile people. To top it off, their phone rang while I was mid-answer. Grubhub HR, please remind your interviewers that candidates should leave feeling excited, even after a tough interview. Treating candidates this way not only creates bad vibes but also loses you a customer.

Confirmed questions4 questions
  • Can you define gradient descent?
  • How are random forests used with categorical variables?
  • Could you explain gradient boosting decision trees?
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Grubhub

Data Scientist

Analytics

Mid Average Negative experience No offer 2 rounds
Interview process
Recruiter call Phone screen Phone screen
Interview formats
Behavioral Technical Case

I applied online. Then a recruiter reached out to me, and then scheduled two phone interviews. I guess I did not pass, as there are no follow-ups after conversation with them. I want to write this review as I found their review process a bit different from data scientist position I interviewed. Recruiters seem not professional, as she/he is the very first data science recruiter who cannot even recognize key words related to machine learning and who thinks stats and machine learning are totally unrelated. The interview is not well structured. As now I recall, the phone screens are a mixture of behavioral, technical and case interview. I do not understand how one could achieve some goals in one 30-minute interview and indeed the first interview was overtime - the interviewer obviously did not finish what he wanted to ask. I do not understand the interview order either. I was firstly interviewed by someone pretty senior before the second more junior data scientist. I felt really honored yet a bit terrified to speak with a person with such seniority for my first interview, and at the same time confused about what exactly he is looking for.

Confirmed questions8 questions
  • What are your career goals and can you explain your past career moves and why you are interested in Grubhub?
  • Could you share a project that you are particularly proud of?
  • Could you detail your role and contributions for each of your projects, even for those that might not be your main focus?

Grubhub Data Scientist Interview Questions

Quoted word for word from Grubhub interview reports.

How would you compute monthly averages from a satay table?

Read report

Can you explain the difference between bagging and boosting?

Read report

What do you think about the academic consensus on [topic]?

Read report

Formats, difficulty and experience

Across all 9 Grubhub interview reports.

Interview formats

Technical 43.8%
Behavioral 43.8%
Coding 6.2%
Case 6.2%

Interview difficulty

Easy 22.2%
Average 66.7%
Difficult 11.1%

Candidate experience

Positive 22.2%
Negative 66.7%
Neutral 11.1%