Handle novelty and residual effects
Company: Meta
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: hard
Interview Round: Onsite
Overview: This question evaluates a data scientist's competency in experiment design and causal inference for online metrics under temporal dynamics, specifically assessing understanding of novelty-decay, residual (carryover) effects, cohort/time-since-exposure analysis, and the implications for power and sample sizing.