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Updated weekly · Last refresh Aug 30

World Wide Technology Data Scientist Interview Questions

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

37questions
~5htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~53 min
2
A/B Testing & Experimentation4 questions · ~33 min
Is the Lift Real?Easy

Assess whether an observed A/B test lift is statistically credible or just random noise before shipping.

Confidence IntervalsHypothesis TestingStatistical SignificanceWorld Wide Technology
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3
Metrics3 questions · ~25 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 IndicatorsDiagnosisWorld Wide Technology
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4
Machine Learning7 questions · ~58 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffWorld Wide Technology
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5
Behavioral & Leadership11 questions · ~92 min
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6
More topics8 questions · ~67 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingWorld Wide Technology
Prioritize Competing User RequestsMedium

Approach for deciding which user problem to solve first when multiple requests compete.

Feature PrioritizationUser NeedsProduct VisionWorld Wide Technology
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingWorld Wide Technology
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallWorld Wide Technology
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