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Updated weekly · Last refresh Oct 17

Bank of America Data Scientist Interview Questions

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

30questions
~5htotal time
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1
SQL & Data ManipulationStart here. 3 questions · ~29 min
2
Statistics & Probability5 questions · ~49 min
Expected Flips for Two HeadsMedium

Compute the expected waiting time to see two consecutive heads when flipping a fair coin.

DistributionsExpected ValueConditional ProbabilityBank of America
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3
Product Sense3 questions · ~29 min
Using Data to Influence DecisionsEasy

Share how you used data to shape a business decision, including the analysis, recommendation, and outcome.

User ResearchUser NeedsValue PropositionBank of America
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4
Machine Learning4 questions · ~39 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 LearningBank of America
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5
Behavioral & Leadership8 questions · ~78 min
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6
More topics7 questions · ~68 min
Avoid Pitfalls in Online ExperimentsHard

Explain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.

Network InterferenceNovelty EffectSample Ratio MismatchBank of America
Sorting Algorithm ComplexityMedium

Analyze the time and auxiliary space complexity of an implemented sorting algorithm across best, average, and worst cases.

CommunicationOwnershipDealing With AmbiguityBank of America
Build and Monitor ModelsHard

Explain an end-to-end production ML lifecycle for Bank of America, including deployment, monitoring, retraining, and rollback.

Feature StoreFeature DriftModel ServingBank of America
Reduce Customer ChurnMedium

Tests end-to-end problem framing, metrics, modeling, and iteration to reduce churn.

RetentionChurnDiagnosisBank of America
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