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Updated weekly · Last refresh Aug 30

Empiric Data Scientist Interview Questions

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

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~4htotal time
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1
Machine LearningStart here. 6 questions · ~54 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 TradeoffEmpiric
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2
A/B Testing & Experimentation3 questions · ~27 min
Pitfalls in Streaming Experiment AnalysisHard

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchEmpiric
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3
Product Sense3 questions · ~27 min
Prioritize Competing User RequestsMedium

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

Feature PrioritizationUser NeedsProduct VisionEmpiric
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4
Statistics & Probability3 questions · ~27 min
Statistical Significance and Confidence IntervalsEasy

Explain how statistical significance and confidence intervals are interpreted in a product experiment.

Confidence IntervalsHypothesis TestingStatistical SignificanceEmpiric
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5
Behavioral & Leadership7 questions · ~63 min
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6
More topics6 questions · ~54 min
7-Day Rolling Active UsersMedium
Practice

Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.

Window FunctionsDate FunctionsRunning TotalsEmpiric
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 IndicatorsDiagnosisEmpiric
Cloud Storage in Data PipelinesEasy

Discuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.

InfrastructureETLEmpiric
Evaluating Model PerformanceMedium

Tests model evaluation methodology, metrics selection, and validation practices.

performance metricsModel EvaluationvalidationEmpiric
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Hands-on SQL practiceWrite and run real queries in the editor. 1 drill · ~10 min
Detect Anomalous Daily Device PingsHard
Practice
Practice drill

Use window functions to flag device ping spikes, drops, and missing-day gaps in daily telemetry.

Window FunctionsDate FunctionsData WranglingAthelas
The finish line: interview-readyComplete all 28 questions plus 1 hands-on drill to finish this plan.