BNP Paribas Data Scientist Interview Guide

- Using complex models without justifying why simpler approaches won't work - Not discussing data quality, biases, or ethical considerations - Failing to communicate statistical concepts to non-technical stakeholders - Ignoring business context and focusing only on model accuracy - Not validating assumptions or testing for overfitting

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