Persistent Data Scientist Interview Questions
The questions to prepare for a Persistent Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
PersistentExplain how RANK() and DENSE_RANK() handle ties differently in ordered SQL results such as leaderboards.
PersistentUse a window function to find each customer's second-highest transaction amount for a specified month.
PersistentOptimize a slow PostgreSQL query that aggregates completed transactions while preserving customers with no matching activity.
Capgemini
NomuraDesign an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
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Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
PersistentOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
PersistentEvaluates depth across ML, DL, and GenAI design choices relevant to production systems.
PersistentAssesses how you translate product goals into measurable, reliable metrics.
PersistentEvaluates your understanding of hypothesis testing and decision-making in experiments.
Persistent