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Design an A/B test for search ranking

Last updated: May 1, 2026

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.

  • easy
  • Google
  • Analytics & Experimentation
  • Data Scientist

Design an A/B test for search ranking

Company: Google

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: easy

Interview Round: HR Screen

Quick Answer: 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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|Home/Analytics & Experimentation/Google

Design an A/B test for search ranking

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Feb 7, 2026, 10:15 AM
easyData ScientistHR ScreenAnalytics & Experimentation
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