ABN AMRO Data Scientist Interview Questions
The questions to prepare for a ABN AMRO Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Use LAG and conditional aggregation to identify accounts with repeated transactions occurring within short time intervals.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Improve a supervised model by turning raw inputs into more useful features and validating the lift carefully.
Explain the main statistical methods used in customer analytics and when each is appropriate.
Define a success metric for a new feature that captures real user value, not just raw usage.
Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.
Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
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