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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 weekly.

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Handling Missing Data in ML
Medium

Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.

Feature EngineeringData WranglingSupervised Learning
Bank of America
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SQL Window Functions
Medium

Tests SQL window function proficiency for time-based analytics and ranking.

Window FunctionsRankingRunning Totals
Bank of America
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Avoid Pitfalls in Online Experiments
Hard

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

Network InterferenceNovelty EffectSample Ratio Mismatch
Bank of America
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Reduce Customer Churn
Medium

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

RetentionChurnDiagnosis
Bank of America
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Model Validation Approach
Medium

Tests rigor in evaluation design, avoiding leakage, and selecting appropriate metrics.

Cross-ValidationPrecisionAccuracy
Bank of America
Build and Monitor Models
Hard

Tests system thinking around deployment, monitoring, drift, and ongoing model health.

Feature StoreFeature DriftModel Serving
Bank of America

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