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Grab Data Scientist Interview Questions
& Process

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

Based on 62 interview experiences · FREE TO READ

2.5 Rounds average
Average Typical difficulty
46.8% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Grab.

Showing 3 of 62
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Data Scientist

Analytics · a year ago

Mid Difficult Positive experience No offer 1 round
Interview process
Technical screen Onsite
Interview formats
Technical Coding Case

Had an online interview with the hiring manager. They asked me about pricing and optimization problems. There was a case study related to the same area. They also asked about regression and classification models, which weren't too hard. Lastly, they asked coding questions that were on the online test.

Confirmed questions6 questions
  • Were the coding questions from the online coding test asked?
  • Can you tell me about the pricing questions?
  • What about optimization questions?
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Grab

Data Scientist

Analytics · more than a year ago

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

I interviewed with two different teams. First, I had a Codility test and then three rounds of in-person interviews. The interviews usually involved questions about my previous projects, machine learning concepts, and a case study where I had to propose a data science solution for a Grab problem. Things seemed to be going well, and they were considering an offer, but then they changed their mind. I was then referred to another team and had to go through a whole new interview process. This second team shifted their strategy mid-way and decided they needed someone with more experience (over 5 years). The whole process took a long time, and it felt like neither the hiring team nor the recruiter respected my time. Getting updates from the recruiter was difficult, requiring constant follow-ups. The hiring team's indecisiveness, like giving a green light for an offer and then backing out, made the experience quite unpleasant. It was a bad interview experience overall, and I wouldn't advise others to interview with them.

Confirmed questions3 questions
  • Can you discuss ML/DS questions related to your past project experience?
  • What are your thoughts on case studies that focus on applying DS solutions?
  • Can you solve coding questions (LC medium)?
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Grab

Data Scientist

Analytics

Entry Average Positive experience Accept offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical Case

So the interview process for my data scientist role was pretty chill. It started with a phone interview with HR where I had to answer some general questions about my work area, when I'm available, and if I'd relocate. After that, I went through two rounds of technical interviews with Grab's data science team. The last interview was a check on my cultural fit, which I did with the senior manager at the time.

Confirmed questions8 questions
  • Can you explain the fundamentals of machine learning?
  • Tell me more about advanced machine learning concepts.
  • What are the key aspects of supervised learning methods?

Grab Data Scientist Interview Questions

Quoted word for word from Grab interview reports.

Can you explain how to determine the regularization term in lasso regression?

Read reports

Can you explain why an ROC curve is not affected by an imbalanced dataset?

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How to solve the issue if the features are highly correlated?

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Can you explain the mechanics of surge pricing for both customers and drivers?

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Could you explain the intuition behind how Machine Learning models work?

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If a new homepage feature is released, how would you set up an experiment to quantify its effect and check for statistical significance?

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Regarding experimentation, how do you determine the appropriate sample size for an A/B test?

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Could you explain how bootstrapping works, including its advantages and disadvantages?

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Formats, difficulty and experience

Across all 62 Grab interview reports.

Interview formats

Technical 38%
Behavioral 28%
Coding 22.7%
Case 8%
Presentation 2%

Interview difficulty

Easy 9.7%
Average 66.1%
Difficult 24.2%

Candidate experience

Positive 46.8%
Neutral 29%
Negative 24.2%