Columbia University Data Scientist Interview Questions
The questions to prepare for a Columbia University Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate each user's running order total over time using a window function.
Columbia UniversityRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Columbia UniversityExplain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.
Columbia UniversityCompare batch and streaming data processing, including when each fits best in a pipeline.
Columbia UniversityDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
Columbia UniversityDesign a feature store that lets research teams define, reuse, and serve consistent ML features across training and inference.
Columbia UniversityEvaluates model evaluation methodology and decision criteria.
Columbia UniversityEvaluates practical data visualization skills for communicating insights.
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