State of Washington Data Scientist Interview Questions
The questions to prepare for a State of Washington Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an A/B test to measure whether a marketing campaign drives incremental lift without harming guardrails.
Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Tests conflict resolution and influence when you disagree on data modeling choices.
Tests data quality judgment, analytical rigor, prioritization, and ownership before analysis.
Tests influence without authority when a stakeholder resists a data-driven marketing recommendation.
Explain how to design, test, and validate analyses so statistical significance is reliable rather than a result of sampling noise or repeated testing.
Diagnose a sudden 20% KPI decline by validating measurement, decomposing drivers, and separating real behavior changes from data issues.
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