Build a defensible ML pipeline end-to-end
Company: Thumbtack
Role: Data Scientist
Category: Machine Learning
Difficulty: hard
Interview Round: Onsite
Overview: This question evaluates a data scientist's competence in designing and defending an end-to-end production ML pipeline for mixed tabular data, assessing skills in metric selection for rare positives, temporal validation, feature preprocessing, calibration, fairness assessment, model selection, and monitoring.
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