Design experiment with network and novelty effects

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Quick Overview

This question evaluates a data scientist's competence in experimental design and causal inference under network interference and novelty effects, covering skills such as choice of randomization unit, estimand specification, exposure mapping, and bias-aware inference for spillovers and temporal heterogeneity.

Design experiment with network and novelty effects

Company: Meta

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates a data scientist's competence in experimental design and causal inference under network interference and novelty effects, covering skills such as choice of randomization unit, estimand specification, exposure mapping, and bias-aware inference for spillovers and temporal heterogeneity.

Read the full Meta Data Scientist interview experience this question came from

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Oct 13, 2025
hardData ScientistOnsiteAnalytics & Experimentation
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