Design Biker metrics and A/B test plan

Quick Overview

This question evaluates a data scientist's competency in experimental design, metric engineering, causal inference, and operational analytics, focusing on defining primary/secondary metrics and guardrails, long-term signals, unit-of-analysis choices, power calculations, data sourcing, and pre-registered analysis.

Design Biker metrics and A/B test plan

Company: SIG (Susquehanna)

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Technical Screen

Quick Answer: This question evaluates a data scientist's competency in experimental design, metric engineering, causal inference, and operational analytics, focusing on defining primary/secondary metrics and guardrails, long-term signals, unit-of-analysis choices, power calculations, data sourcing, and pre-registered analysis.

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