Top 23
Prep plan
Updated weekly · Last refresh Aug 30

GitHub Data Scientist Interview Questions

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

23questions
~3htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
Diagnose Sample Ratio Mismatch in Ops TestMedium

An operational A/B test shows uneven assignment; determine whether sample ratio mismatch invalidates the result and how to respond.

ExperimentationGuardrail MetricsSample Ratio MismatchGitHub
A/B Test Design for a GitHub FeatureHard

Tests end-to-end experimentation rigor, including power, guardrails, and avoiding bias on GitHub.

MDEPeekingGuardrail MetricsGitHub
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2
SQL & Data Manipulation4 questions + 3 drills · ~63 min
3
Metrics4 questions · ~33 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 IndicatorsDiagnosisGitHub
Define a Product North StarMedium

Define a North Star Metric for a product and explain how it guides KPI selection and growth decisions.

User SegmentsNorth Star MetricKPIsGitHub
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4
Statistics & Probability3 questions · ~25 min
Choosing a Significance TestEasy

Explain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.

Confidence IntervalsHypothesis TestingStatistical SignificanceGitHub
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5
Behavioral & Leadership7 questions · ~57 min
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6
More topics2 questions · ~16 min
Measuring GitHub Discussions Feature AdoptionMedium

Tests product analytics thinking for defining metrics, instrumentation, and adoption measurement on GitHub.

MetricsUser NeedsGitHub
Churn Prediction for GitHub EnterpriseMedium

Tests machine learning problem framing, feature design, and evaluation for subscription churn at GitHub.

Feature EngineeringChurnSupervised LearningGitHub
The finish line: interview-readyComplete all 23 questions plus 3 hands-on drills to finish this plan.