Top 36
Prep plan
Updated weekly · Last refresh Oct 17

EDF Data Scientist Interview Questions

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

36questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 4 questions · ~32 min
2
Statistics & Probability4 questions · ~32 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-ValuesEDF
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3
Machine Learning6 questions · ~49 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 LearningEDF
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4
SQL & Data Manipulation4 questions + 3 drills · ~62 min
5
Behavioral & Leadership11 questions · ~89 min
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6
More topics7 questions · ~57 min
Classify Customer Feedback SentimentMedium

Build a sentiment classifier for customer feedback using modern text preprocessing and transformer fine-tuning.

Text ClassificationSentiment AnalysisTokenizationEDF
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 IndicatorsDiagnosisEDF
Data Science Pipeline DesignMedium

Tests ability to design reliable end-to-end ML workflows from data to deployment.

EDF
Evaluating Algorithm PerformanceMedium

Assesses selection of appropriate metrics and validation approach for ML model performance.

EDF
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