Intercom Data Scientist Interview Questions
The questions to prepare for a Intercom Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an end-to-end A/B test for a pricing page, including MDE, guardrails, analysis plan, and a ship decision.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Calculate monthly cohort retention rates by joining users to dated events and counting distinct active users.
Calculate daily and cumulative message totals per user within a 30-day period.
Calculate daily TikTok DAU and the percentage of eligible market users active each day.
TikTokDefine a reliable customer satisfaction metric for Intercom conversations, including measurement design, bias controls, and success criteria.
Diagnose a 5% drop in Intercom daily active users, separating data quality issues from real changes in user behavior.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain statistical significance, p-values, uncertainty, and practical importance to a non-technical audience.
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