G-P Data Scientist Interview Questions
The questions to prepare for a G-P Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how to decide when a treatment improves one metric but harms another, using primary metrics, guardrails, and practical significance.
Design a landing-page A/B test with clear metrics, power, and significance criteria while guarding against common experiment pitfalls.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Compute each user's seven-day activity average and compare it with the corresponding rolling average from the prior week.
Explain which A/B test methods you use, and why, including hypothesis tests and confidence intervals.
Build a systematic process to validate a 10% overnight KPI decline, isolate its cause, and recommend corrective action.
Explain how to ensure data accuracy in SQL workflows using validation checks, reconciliation, and careful query design.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
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Use aggregation and a window function to rank active players by completed purchase spend, including players with no qualifying purchases.
ScopelyJoin two tables and derive palindrome, reversed-substring, and character-frequency results with PostgreSQL.
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