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Updated weekly · Last refresh Oct 17

Citigroup Data Scientist Interview Questions

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

37questions
~5htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 1 drill · ~36 min
2
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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3
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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4
Machine Learning7 questions · ~61 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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5
Behavioral & Leadership10 questions · ~86 min
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6
More topics9 questions · ~78 min
Diagnose a Conversion DropHard

Investigate whether a conversion drop came from product friction, traffic mix, or an experiment artifact.

Funnel AnalysisConversion RateDiagnosisCitigroup
Choose the Right Evaluation MetricsEasy

Pick the right metrics to evaluate a machine learning model and explain why they fit the problem.

PrecisionAccuracyRecallCitigroup
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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The finish line: interview-readyComplete all 37 questions plus 1 hands-on drill to finish this plan.