Esri Data Scientist Interview Questions
The questions to prepare for a Esri Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an end-to-end A/B test comparing two user interfaces, including metrics, MDE, power, randomization, analysis, and launch criteria.
Explain a p-value in everyday language and distinguish statistical significance from practical importance.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
Diagnose a 5% drop in Intercom daily active users, separating data quality issues from real changes in user behavior.
Explain which A/B test methods you use, and why, including hypothesis tests and confidence intervals.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
Define a success metric for a new feature that captures real user value, not just raw usage.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate three-day rolling passenger entry averages for TfL stations using aggregation and window functions.
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