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Updated weekly · Last refresh Oct 17

Eaze Data Scientist Interview Questions

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

30questions
~5htotal time
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1
SQL & Data ManipulationStart here. 3 questions · ~28 min
SQL Top 10 Products by SalesEasy
Practice

Aggregate completed SMX product sales and return the top 10 products by units sold.

RankingGroup ByAggregationsEaze
Measure Week-Over-Week Metric ChangesMedium
Practice

Use LAG to compare an operational KPI week over week and surface absolute and percentage change.

Window FunctionsLag/LeadDate FunctionsEaze
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2
A/B Testing & Experimentation3 questions · ~28 min
MDE for Checkout ExperimentMedium

Design a checkout A/B test around MDE selection, power, sample size, guardrails, and a pre-registered ship decision under 14-day traffic limits.

MDEPower AnalysisSample SizeEaze
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3
Machine Learning4 questions · ~38 min
Experience with ML TechniquesEasy

Describe your hands-on experience applying supervised learning, feature engineering, and model evaluation in real projects.

Cross-ValidationFeature EngineeringSupervised LearningEaze
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4
Metrics6 questions · ~57 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisEaze
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5
Behavioral & Leadership9 questions · ~85 min
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6
More topics5 questions · ~47 min
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-ValuesEaze
Reducing Delivery Times ApproachMedium

Tests product thinking and analytics-driven problem solving for logistics performance.

User NeedsPain PointsProduct VisionEaze
Optimizing a Data PipelineMedium

Tests performance, reliability, and cost tradeoffs in production data systems.

ETLOrchestrationQualityEaze
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