Run a clean A/B test for autocomplete

Quick Overview

This question evaluates experimental-design and causal-inference competency for online A/B testing of ML-ranked autocomplete, covering metric formulation, variance-reduction strategies, sample-size computation, and operational validity considerations.

Run a clean A/B test for autocomplete

Company: Etsy

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Technical Screen

Quick Answer: This question evaluates experimental-design and causal-inference competency for online A/B testing of ML-ranked autocomplete, covering metric formulation, variance-reduction strategies, sample-size computation, and operational validity considerations.

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Etsy
Oct 13, 2025, 9:49 PM
hardData ScientistTechnical ScreenAnalytics & Experimentation
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