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Allen Institute Data Scientist Interview Questions

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

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1
Machine LearningStart here. 3 questions · ~25 min
Choosing Interpretable vs Black-Box ModelsMedium

Explain how to choose between a simpler interpretable model and a more accurate black-box model.

Cross-ValidationBias-Variance TradeoffSupervised LearningAAllen Institute
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2
A/B Testing & Experimentation6 questions · ~49 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 TestingAAllen 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 MismatchAAllen Institute
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3
Product Sense3 questions · ~25 min
Long-Term Impact vs MilestonesMedium

Evaluates prioritization and decision-making across research and delivery constraints.

Decision MakingAAllen Institute
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4
Behavioral & Leadership4 questions · ~33 min
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5
More topics4 questions · ~33 min
Diagnose a Performance DropHard

Investigate whether a performance decline is seasonal or a real product issue.

Leading IndicatorsDiagnosisTime SeriesAAllen Institute
RANK vs DENSE_RANK in LeaderboardsEasy

Explain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.

Window FunctionsRankingData WranglingAAllen Institute
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceAAllen Institute
Diagnose a Sudden Metric DropMedium

Tests structured debugging and root-cause analysis for metric regressions.

root cause analysisperformance metricsDiagnosisAAllen Institute

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
7-Day Moving Average of Daily GMVEasy
Practice
Practice drill

Compute daily paid GMV and a 7-day trailing moving average using aggregation + window functions.

Window FunctionsData WranglingTime SeriesBalyasny Asset ManagementAmazon Development Center U.S.
Remove Duplicates Keeping LatestMedium
Practice
Practice drill

Delete duplicate contact records while retaining the most recently updated row for each email address.

Window Functionsdata cleaningRankingBNSF RailwayRevature
Top Credit Score Applicants by StateMedium
Practice
Practice drill

Identify the highest-credit-score 5% of applicants within each state using percentiles and window ranking.

Window FunctionsJoinsRankingAmerican Credit Acceptance
The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.