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Updated weekly · Last refresh Sep 15

Buck Institute Data Scientist Interview Questions

The questions to prepare for a Buck Institute Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
Set Up a Valid A/B TestHard

Design an A/B test with a clear control group, valid randomization, and protections for internal validity.

ExperimentationStatistical SignificanceA/B TestingBuck Institute
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 MismatchBuck Institute
Experiment Pitfalls With Noisy SamplesMedium

Evaluates how you mitigate experimentation pitfalls caused by noise in biological samples.

Data QualityBuck Institute
2
Statistics & Probability3 questions · ~25 min
Statistical Power in ExperimentsEasy

Explain statistical power and why low-power product experiments can miss real effects and lead to weak decisions.

Power AnalysisSample SizeA/B TestingBuck Institute
Statistical Significance in GenomicsMedium

Assesses understanding of statistical significance for high-throughput genomics experiments.

Hypothesis TestingStatistical SignificanceBuck Institute
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3
Behavioral & Leadership4 questions · ~33 min
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4
More topics3 questions · ~25 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisBuck Institute
Designing Product Metrics for PipelinesMedium

Evaluates your ability to define product metrics that reflect pipeline impact at Buck Institute.

Buck Institute
Systematic Diagnosis of Metric DropsMedium

Tests your debugging and monitoring approach for sudden model metric drops.

model performanceDiagnosisBuck Institute
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