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Prep plan
Updated weekly · Last refresh Oct 17

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 daily.

34questions
~5htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~54 min
2
NLP3 questions · ~26 min
3
Machine Learning9 questions · ~77 min
Handling Imbalanced Fraud LabelsMedium

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

Cross-ValidationFeature EngineeringSupervised LearningBNP Paribas
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4
Statistics & Probability8 questions · ~69 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceBNP Paribas
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5
Behavioral & Leadership6 questions · ~52 min
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6
More topics4 questions · ~34 min
Choose Feature Success MetricsMedium

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

North Star MetricKPIGuardrail MetricsBNP Paribas
Common Pitfalls in Experiment ResultsHard

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

PeekingNovelty EffectSample Ratio MismatchBNP Paribas
Validate Stock Price Model With Alternative DataHard

Evaluates end-to-end modeling design, validation, and risk-aware thinking for market prediction.

BNP Paribas
Diagnose a Performance DropHard

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

Leading IndicatorsDiagnosisTime SeriesBNP Paribas
The finish line: interview-readyComplete all 34 questions plus 2 hands-on drills to finish this plan.