OpenX Data Scientist Interview Questions
The questions to prepare for a OpenX Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Estimate sample size and power for detecting a small conversion lift in an A/B test on a mobile app feature.
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Explain how to reduce memory usage and stabilize a Pandas-based batch pipeline that is failing on larger inputs.
OpenXExplain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
OpenXInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
OpenXCompute rolling seven-day impression and click averages for each publisher using PostgreSQL window functions.
OpenXTests your model evaluation knowledge and ability to justify metrics for classification and ranking.
OpenXTests your product thinking and ability to choose metrics that align user outcomes with OpenX revenue goals.
OpenXJoin users and events to summarize behavior counts and duration for each user and hourly interval.
OpenXIdentify publishers with CTR below half the eligible network benchmark over a fixed 24-hour reporting window.
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