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Updated weekly · Last refresh Aug 30

Aqr Data Scientist Interview Questions

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

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~3htotal time
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1
Statistics & ProbabilityStart here. 3 questions · ~25 min
Power Analysis for Experiment PlanningMedium

Reason about power analysis when planning an experiment and choosing sample size.

ExperimentationPower AnalysisSample SizeAqr
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesAqr
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2
Machine Learning7 questions · ~59 min
Bias Variance Tradeoff BasicsEasy

Explain how bias and variance affect generalization, and how model complexity changes the balance.

Cross-ValidationBias-Variance TradeoffSupervised LearningAqr
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3
Behavioral & Leadership6 questions · ~50 min
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4
More topics6 questions · ~50 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisAqr
Primary vs Guardrail MetricsEasy

Explain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.

ExperimentationGuardrail MetricsA/B TestingAqr
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionAqr
Pre vs Post Metrics with SQLMedium

Tests your ability to design SQL analyses for causal-style comparisons and metric tracking.

JoinsData WranglingAggregationsAqr
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchAqr
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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