XYZ Data Scientist Interview Questions
The questions to prepare for a XYZ Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Use PostgreSQL window functions to calculate user running spend and rank users by total spend within each signup cohort.
XYZCompute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Meta
Spotify
Meta ITUse GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.
Housecall Pro
EquifaxXYZExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Explain how to test whether an observed experiment lift is real using hypothesis testing, p-values, and confidence intervals.
XYZDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
XYZExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
XYZFramework for prioritizing new features in a mature product when engineering capacity is limited.
XYZTests experimental design rigor, metric selection, and bias control for product decisions at XYZ.
XYZDefine a north star metric that reflects product value and shows whether the product is working.
XYZ