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Prep plan
Updated weekly · Last refresh Aug 30

Gartner Data Scientist Interview Questions

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

28questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
2
Machine Learning4 questions · ~33 min
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningGartner
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3
Model Evaluation3 questions · ~24 min
Choose the Right Classification MetricMedium

Explain when to use precision, recall, F1, or ROC-AUC for a classification model.

PrecisionAUC-ROCRecallGartner
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4
SQL & Data Manipulation3 questions + 3 drills · ~54 min
5
NLP3 questions · ~24 min
Extract Tech Trends From ArticlesHard

Tests NLP pipeline design for information extraction and taxonomy mapping.

Text ClassificationTopic ModelingNamed Entity RecognitionGartner
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6
Behavioral & Leadership7 questions · ~57 min
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7
More topics5 questions · ~41 min
Diagnosing a Product Metric DropMedium

Decide whether a metric drop reflects a real shift or normal variation using hypothesis testing, confidence intervals, and baseline variability.

Confidence IntervalsHypothesis TestingStatistical SignificanceGartner
Diagnose Engagement Drop After ReleaseMedium

Tests metrics debugging and causal investigation after product changes.

DiagnosisEngagement MetricsGartner
Design a Gartner Recommendation EngineHard

Tests system design for personalization, ranking, and data/feature strategy.

Feature StoreRetrievalRecommendation SystemsGartner
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The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.