Jane Street Data Scientist Interview Questions

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

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

Identify Biased Coin With Minimal Flips

Medium

Tests hypothesis testing and efficient inference under limited samples.

Decision MakingHypothesis Testingprobability

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Betting With Incomplete Opponent Info

Medium

Tests decision-making under uncertainty and inference from partial observations.

Decision Makingstrategy

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Optimal Strategy to Maximize Payout

Medium

Tests strategy optimization and expected value reasoning in game settings.

optimizationstrategy

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Mitigate Survivorship Bias

Medium

Tests data quality diagnosis and bias correction strategies for analysis.

Data Analysismitigation

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Design an experiment for a new trading signal or workflow change, including metrics, power, randomization, and launch criteria.

Common Pitfalls in Experiment Results

Hard

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

PeekingNovelty EffectSample Ratio Mismatch

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Diagnose a Metric Drop After Launch

Medium

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

Lagging IndicatorsLeading IndicatorsDiagnosis

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