Persistent Data Scientist Interview Questions
The questions to prepare for a Persistent Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
PersistentExplain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
PersistentFind the second highest distinct salary from a single table using basic PostgreSQL ordering and limiting.
eClinicalWorks
Informatica
Spectraforce TechnologiesUse nested aggregation subqueries to find the second-highest distinct salary without LIMIT.
Persistent
Persistent SystemsOutline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
PersistentAssess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
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Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
PersistentAssesses how you translate product goals into measurable, reliable metrics.
PersistentEvaluates depth across ML, DL, and GenAI design choices relevant to production systems.
PersistentEvaluates your understanding of hypothesis testing and decision-making in experiments.
Persistent