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Updated weekly · Last refresh Oct 17

Eab (Education Advisory Board) Data Scientist Interview Questions

The questions to prepare for a Eab (Education Advisory Board) Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
Statistics & ProbabilityStart here. 5 questions · ~43 min
2
Metrics3 questions · ~26 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisEab (Education Advisory Board)
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3
SQL & Data Manipulation3 questions + 2 drills · ~46 min
4
Machine Learning4 questions · ~35 min
Feature Selection TechniquesMedium

Tests knowledge of feature selection methods and when to apply them.

Cross-ValidationFeature EngineeringRegularizationEab (Education Advisory Board)
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5
Behavioral & Leadership8 questions · ~70 min
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6
More topics6 questions · ~52 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 TestingEab (Education Advisory Board)
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLEab (Education Advisory Board)
Collect Data to Improve PerformanceMedium

Tests product sense and data requirements for measurable improvements.

User NeedsPain PointsProduct VisionEab (Education Advisory Board)
End-to-End Recommender System DesignHard

Tests system design for ML recommendations, including data, modeling, and evaluation.

RetrievalModel ServingRecommendation SystemsEab (Education Advisory Board)
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