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 weekly.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Define a practical framework for measuring whether a new feature launch in a banking app is actually successful.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.
Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin Moore