Yahoo Data Scientist Interview Questions
The questions to prepare for a Yahoo Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
YahooEstimate sample size and power for an experiment, define MDE and guardrails, and decide whether the test is worth running.
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Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.
YahooEvaluates understanding of p-values and communication to non-technical stakeholders.
YahooApproach for identifying, prioritizing, and launching a new feature that increases user engagement.
YahooExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
YahooApproach for safely backfilling missing data while preserving correctness, idempotency, and data quality.
YahooDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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