BMO Financial Group Data Scientist Interview Questions
The questions to prepare for a BMO Financial Group Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
Use HAVING to return customers whose posted credit activity meets transaction-count and total-value thresholds.
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Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.
Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.