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Prep plan
Updated weekly · Last refresh Aug 30

April Data Scientist Interview Questions

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

26questions
~4htotal time
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1
Machine LearningStart here. 4 questions · ~33 min
2
A/B Testing & Experimentation3 questions · ~24 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 TestingApril
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3
SQL & Data Manipulation4 questions + 3 drills · ~63 min
4
Behavioral & Leadership8 questions · ~65 min
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5
More topics7 questions · ~57 min
Interpreting Significance in ExperimentsMedium

Explain statistical significance in experiments and how p-values and confidence intervals guide interpretation.

Confidence IntervalsStatistical SignificanceP-ValuesApril
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueApril
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 IndicatorsDiagnosisApril
Model Evaluation MetricsEasy

Tests your ability to select appropriate metrics based on task type and business or research goals.

PrecisionAccuracyRecallApril
Integrate Multiple Data SourcesMedium

Tests data integration thinking, schema alignment, and reliability considerations for production pipelines.

ETLDependenciesData ModelingApril
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The finish line: interview-readyComplete all 26 questions plus 3 hands-on drills to finish this plan.