XenonStack Data Scientist Interview Questions
The questions to prepare for a XenonStack Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Explain how INNER JOIN and LEFT JOIN differ, and when to use each for matched-only versus all-left-row analysis.
Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
Waymo
CruiseFramework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.
Framework for choosing a feature's primary success metric and guardrails before launch.
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Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Define the core metrics for a new product launch, from early adoption and activation to retention and long-term value.