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Updated weekly · Last refresh Aug 30

phData Data Scientist Interview Questions

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

32questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 5 questions · ~41 min
2
Machine Learning7 questions · ~58 min
Handling Missing Data in MLMedium

Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.

Feature EngineeringData WranglingSupervised LearningphData
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3
SQL & Data Manipulation3 questions + 3 drills · ~55 min
4
Behavioral & Leadership8 questions · ~66 min
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5
More topics9 questions · ~74 min
Explain Cross-Validation in Model SelectionEasy

Explain what cross-validation is and why it matters when choosing between models.

Cross-ValidationAccuracyThreshold TuningphData
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 IndicatorsDiagnosisphData
Evaluating Observed Lift SignificanceMedium

Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.

Confidence IntervalsStatistical SignificanceP-ValuesphData
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityphData
Define Feature Success MetricsMedium

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

MetricsFeature PrioritizationProduct VisionphData
Production Model MaintenanceHard

Assesses your thinking about monitoring, retraining, and operational reliability for models.

productionphData
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