4P Consulting Data Scientist Interview Questions
The questions to prepare for a 4P Consulting Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.
4P ConsultingExplain how to profile, clean, and standardize missing or dirty data before analysis.
4P ConsultingCalculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
HingeCCatalyst Operations & AnalyticsAAlight SolutionsCalculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.
Transport for London
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MercariDescribe an A/B test you ran, what question it answered, how you measured success, and what you learned from the results.
4P ConsultingFramework for using product data to identify and prioritize the user problem that should be solved first.
4P ConsultingDefine a success metric for a new feature that captures real user value, not just raw usage.
4P ConsultingEvaluates how you apply hypothesis testing to support business decisions.
4P ConsultingExplain how to reduce overfitting on small or noisy datasets using regularization, validation strategy, and model complexity control.
4P ConsultingOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
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