Build cold-start restaurant ratings
Company: Uber
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Technical Screen
Overview: This question evaluates a data scientist's ability to design a production-ready predictive modeling approach for cold-start ratings, testing competencies in defining target variables and labels, selecting launch-time features, preventing leakage and selection bias, validating calibration and fairness, representing uncertainty, and integrating models with experimentation. It is commonly asked in the Machine Learning domain to assess system-level thinking about model validity and marketplace impact, operating at a high level of abstraction that blends conceptual modeling design with practical product-integration and evaluation considerations.
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