IHX Data Scientist Interview Questions
The questions to prepare for a IHX Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Tests adaptability, judgment, prioritization, and ownership when new evidence changes a project’s direction.
Tests conflict resolution, stakeholder influence, data-driven communication, and ownership during disagreement with product.
Calculate three-day rolling user activity averages and classify behavior trends with SQL window functions.
Select the appropriate statistical test for an observed change and explain how its p-value determines significance.
Explain how to design, power, monitor, and analyze an A/B test so its conclusions are statistically and practically valid.
Define a success metric for a new feature that captures real user value, not just raw usage.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Explain common experimentation pitfalls and design controls that prevent selection bias from invalidating conclusions.
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Find each user's longest consecutive login streak by deduplicating login dates and identifying gaps between days.
Didi Chuxing
ByteDanceCalculate daily conversions and a seven-day rolling average using PostgreSQL aggregation and window functions.
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