OpenX Data Scientist Interview Questions
The questions to prepare for a OpenX Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain how bias and variance affect generalization, and how model complexity changes the balance.
OpenXEstimate sample size and power for detecting a small conversion lift in an A/B test on a mobile app feature.
OpenXInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
OpenXExplain how a primary metric differs from a guardrail metric and how both are used in A/B test decisions.
OpenXExplain how to reduce memory usage and stabilize a Pandas-based batch pipeline that is failing on larger inputs.
OpenXTests your model evaluation knowledge and ability to justify metrics for classification and ranking.
OpenXTests your ability to compute conversion metrics and rank results using SQL window functions.
OpenXTests your product thinking and ability to choose metrics that align user outcomes with OpenX revenue goals.
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Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreBuild a daily series and compute a 30-day trailing moving average of task bookings using window functions.
TaskRabbit
RBCUse a CTE, joins, and RANK() to find the top 2 clients by revenue for each product from completed 2024 orders.
Google
Publicis Groupe
RTX