Design a Causal Upgrade Experiment
Company: Google
Role: Data Scientist
Category: Analytics & Experimentation
Difficulty: hard
Interview Round: Technical Screen
Overview: This question evaluates competency in causal inference and experimental design, focusing on handling selection bias, defining intent-to-treat and treatment-on-the-treated estimands, metric specification, and randomized versus quasi-experimental rollout strategies.
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