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Updated weekly · Last refresh Aug 30

Citigroup Data Scientist Interview Questions

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

40questions
~6htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~36 min
2
A/B Testing & Experimentation5 questions · ~43 min
Sample Size for Onboarding TestMedium

Size an A/B test for a new Asana onboarding flow using a 2pp activation MDE, explicit guardrails, and a pre-registered launch rule.

MDEPower AnalysisSample SizeCitigroup
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3
Machine Learning8 questions · ~69 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 LearningCitigroup
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4
System Design3 questions · ~26 min
Design a Digital Banking Offer RankerHard

Design an ML system that ranks banking offers for online customers using retrieval, ranking, and re-ranking.

ML RankingRecommendation SystemsCitigroup
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5
Behavioral & Leadership12 questions · ~103 min
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6
More topics9 questions · ~77 min
Evaluate Precision and Recall TradeoffsMedium

Assess precision and recall for a model and explain how the threshold changes the tradeoff.

F1 ScorePrecisionRecallCitigroup
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 IndicatorsDiagnosisCitigroup
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueCitigroup
Statistical Significance Before LaunchMedium

Tests statistical reasoning for deciding whether a model improvement is reliable enough to deploy.

Confidence IntervalsHypothesis TestingStatistical SignificanceCitigroup
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