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BNP Paribas Data Scientist Interview Questions

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

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Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised Learning
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Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical Significance
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Interpreting P Values in Testing
Easy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-Values
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Diagnose a Performance Drop
Hard

Investigate whether a performance decline is seasonal or a real product issue.

Leading IndicatorsDiagnosisTime Series
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Choose Feature Success Metrics
Medium

Pick a primary success metric and guardrails for a new feature, balancing user value with broader product health.

North Star MetricKPIGuardrail Metrics
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Parse Financial Reports with NLP
Hard

Build an NLP pipeline to extract structured entities and financial fields from reports with varied formatting and accounting language.

Text ClassificationNamed Entity RecognitionTokenization
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Common Pitfalls in Experiment Results
Hard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio Mismatch
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SQL Average Transaction Per Customer
Medium

Tests SQL proficiency for aggregations and translating business metrics into queries.

sqltransactions
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