Estimate unbiased ad scores with many reviewers

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Quick Overview

This question evaluates a candidate's skills in hierarchical and mixed-effects modeling, latent-variable estimation, debiasing rater severity and scale, model identifiability, and uncertainty quantification including BLUPs or Bayesian posterior inference.

Estimate unbiased ad scores with many reviewers

Company: Google

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates a candidate's skills in hierarchical and mixed-effects modeling, latent-variable estimation, debiasing rater severity and scale, model identifiability, and uncertainty quantification including BLUPs or Bayesian posterior inference.

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

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Oct 13, 2025
mediumData ScientistTechnical ScreenStatistics & Math
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