Compute precision under noisy annotators

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Quick Overview

This question evaluates understanding of statistical performance metrics and label-noise propagation by requiring computation of precision, recall, and F1 for binary labels under known annotator sensitivity/specificity and majority-vote aggregation, in the Statistics & Math domain.

Compute precision under noisy annotators

Company: Google

Role: Data Scientist

Category: Statistics & Math

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates understanding of statistical performance metrics and label-noise propagation by requiring computation of precision, recall, and F1 for binary labels under known annotator sensitivity/specificity and majority-vote aggregation, in the Statistics & Math domain.

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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