Top 49
Prep plan
Updated weekly · Last refresh Aug 30

Grab Data Scientist Interview Questions

The questions to prepare for a Grab Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

49questions
~7htotal time
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1
Machine LearningStart here. 9 questions · ~73 min
2
Statistics & Probability6 questions · ~48 min
Understanding Type I and Type II Errors in TestingMedium

Differentiate between Type I and Type II errors in hypothesis testing with a practical example.

Hypothesis TestingStatistical SignificanceP-ValuesGrab
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3
A/B Testing & Experimentation5 questions · ~40 min
Design and Reflect on A/B TestMedium

Describe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.

ExperimentationGuardrail MetricsA/B TestingGrab
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4
SQL & Data Manipulation9 questions + 3 drills · ~103 min
5
Metrics5 questions · ~40 min
Measure Impact on RetentionMedium
Recently asked

Tests experimental or quasi-experimental thinking and retention metric design.

user retentionGrab
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6
Behavioral & Leadership9 questions · ~73 min
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7
More topics6 questions · ~48 min
Importance of Cross-ValidationMedium
Recently asked

Tests understanding of generalization, variance, and robust performance estimates.

Cross-ValidationModel EvaluationGrab
Optimizing Driver-Passenger MatchingHard
Recently asked

Tests system design thinking for large-scale matching, latency constraints, and operational trade-offs.

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Deploying ML Models in ProductionMedium
Recently asked

Tests practical deployment experience including monitoring, reliability, and iteration.

Machine LearningproductionGrab
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The finish line: interview-readyComplete all 49 questions plus 3 hands-on drills to finish this plan.