Whoop Data Scientist Interview Questions
The questions to prepare for a Whoop Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate each active Whoop member's 7-day rolling resting heart rate average using a window function and date-based frame.
WhoopCalculate month-1 retention for January vs February signup cohorts using joins, date filtering, and aggregation.
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eBayUse ROW_NUMBER to return each student's second score on a specified Khan Academy exercise.
Khan AcademyIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
WhoopAssess whether two customer segments respond differently to the same campaign with a pre-registered A/B test and segment interaction analysis.
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Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
WhoopExplain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
WhoopOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
WhoopDefine a success metric for a new feature that captures real user value, not just raw usage.
WhoopUse training, validation, and cross-validation behavior to distinguish underfitting from overfitting in supervised models.
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