OpenAI Data Scientist Interview Questions
The questions to prepare for a OpenAI Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Analyze an A/B test dataset, quantify lift and uncertainty, validate experiment quality, and make a guardrail-aware recommendation.
OpenAIIdentify missing, duplicate, null, and out-of-range events across distributed streams with an index-friendly PostgreSQL query.
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Define Codex north-star and feature metrics, then distinguish useful code suggestions from superficial acceptance and activity.
OpenAICompute forward, reverse, and optionally symmetric KL divergence for two discrete random variables.
OpenAIExplain why Average Calibration Error plotted across epochs can fluctuate noisily and how to diagnose whether the pattern is meaningful.
OpenAIDefine the customer acquisition lifecycle, calculate CAC by channel and cohort, and assess payback using LTV to guide investment.
OpenAIDesign a compliant pipeline that discovers, filters, labels, and evaluates high-value training data from medical sources.
OpenAIDesign, train, evaluate, and responsibly deploy a classifier using human-generated data.
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