WD Data Scientist Interview Questions
The questions to prepare for a WD Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain a p-value in everyday language and distinguish statistical significance from practical importance.
Explain how to diagnose inconclusive results, assess power and MDE, and decide whether to iterate, extend, or stop.
Explain how to select, execute, and interpret statistical significance tests for A/B test results.
Tests career ownership, adaptability, realistic ambition, and alignment with the role.
Calculate 30-day rolling test averages for TÜV SÜD facilities using joins and a time-based window function.
Diagnose a sudden 20% KPI decline by validating measurement, decomposing drivers, and separating real behavior changes from data issues.
Framework for choosing a feature's primary success metric and guardrails before launch.
Optimize a slow PostgreSQL query on a large dataset by choosing better filters, joins, and indexes.
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