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Prep plan
Updated weekly · Last refresh Aug 30
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HiLabs Data Scientist Interview Questions

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

28questions
~4htotal time
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1
SQL & Data ManipulationStart here. 5 questions + 1 drill · ~55 min
2
A/B Testing & Experimentation5 questions · ~45 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingHHiLabs
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchHHiLabs
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3
Statistics & Probability4 questions · ~36 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceHHiLabs
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4
Machine Learning6 questions · ~54 min
Credit Card Fraud DetectionHard

Evaluates your end-to-end thinking for building fraud detection models and handling imbalanced data.

fraud detectionProblem SolvingHHiLabs
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5
Behavioral & Leadership5 questions · ~45 min
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6
More topics3 questions · ~27 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsHHiLabs
Metric for Validation Feature SuccessMedium

Evaluates your product thinking for measuring impact of a data validation feature at HiLabs.

product metricsHHiLabs
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The finish line: interview-readyComplete all 28 questions plus 1 hands-on drill to finish this plan.