QBE Data Scientist Interview Questions
The questions to prepare for a QBE Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests ownership, leadership, prioritization, and ability to demonstrate measurable project impact.
Tests conflict resolution in a technical team, including communication, influence without authority, and ownership of the outcome.
Tests ownership and decision-making when results miss expectations, especially how you diagnose failure, pivot, and lead others through ambiguity.
Calculate each provider's rolling 30-day average claim amount using a date-based window.
Explain statistical significance, p-values, practical importance, and uncertainty to a non-technical stakeholder.
Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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Calculate each product-region's rolling 7-day average sales using daily aggregation and calendar-aware windowing.
BayerCCoca-Cola Beverages Singaporeddm-drogerie marktCalculate each user's 7-day activity average and rank users within their cohort using PostgreSQL window functions.
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