IBM iX Data Scientist Interview Questions
The questions to prepare for a IBM iX Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how the central limit theorem makes sample means approximately normal and why that supports statistical inference.
Explain when confidence intervals or p-values are appropriate and distinguish statistical significance from practical importance.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
Waymo
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Assess a new feature using adoption, activation, repeat usage, and retention metrics tied to user value.
Define a success metric for a new feature that captures real user value, not just raw usage.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.