Workday Data Scientist Interview Questions
The questions to prepare for a Workday Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain common SQL-friendly ways to detect outliers and how to handle them without distorting downstream analysis.
WorkdayUse CTEs, joins, and month-based aggregation to calculate cohort retention over time from signup and activity data.
Workday
Amazon Development Center U.S.
The Sparks FoundationAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
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Design lag, rolling, and calendar features for a forecasting problem with temporal dependence.
WorkdayExplain what a p-value means in hypothesis testing and how it relates to statistical significance.
WorkdayExplain common machine learning evaluation metrics and when each is useful.
WorkdayIdentify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
WorkdayInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
WorkdayFramework for keeping marketing analysis tied to client goals, decision needs, and measurable business outcomes.
Workday