Design an A/B test for search ranking

Quick Overview

This question evaluates a data scientist's competency in online experimentation, causal inference, product analytics, and operational metrics engineering, including A/B test design, metric selection, power/sample-size reasoning, interference mitigation, and analysis planning.

Design an A/B test for search ranking

Company: Google

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: HR Screen

Overview: This question evaluates a data scientist's competency in online experimentation, causal inference, product analytics, and operational metrics engineering, including A/B test design, metric selection, power/sample-size reasoning, interference mitigation, and analysis planning.

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Feb 7, 2026
easyData ScientistHR ScreenAnalytics & Experimentation
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