Decide event notification launch via experiments
Company: Meta
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Technical Screen
Quick Answer: This question evaluates a data scientist's competency in experimentation design, causal inference under network interference, metric engineering, and cluster-aware power and ramp planning within the Analytics & Experimentation domain, with a level of abstraction that is predominantly practical application supported by conceptual understanding of randomization and interference. It is commonly asked to assess the ability to design randomized strategies that account for spillovers, specify primary outcomes and guardrails with precise attribution windows, handle interference and long-term holdouts, and produce pre-registered stopping rules and launch/no-launch criteria that balance overall lift against harms in sensitive cohorts.