Model overdispersed counts; estimate treatment lift

Company: TikTok

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates modeling and inference for overdispersed, zero‑inflated count data, including estimation of treatment lift (rate ratios), dispersion assessment, standard error quantification, cluster-robust inference, bootstrap resampling, and multiple-comparison correction.