GitHub Data Scientist Interview Questions
The questions to prepare for a GitHub Data Scientist interview. Questions from real interview reports rank first. Updated daily.
An operational A/B test shows uneven assignment; determine whether sample ratio mismatch invalidates the result and how to respond.
GitHubExplain how RANK(), DENSE_RANK(), and ROW_NUMBER() differ when ordering tied clinical trial results.
GitHubUse CTEs, joins, and date aggregation to calculate GitHub MAU for users who completed an action three times during their first week.
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Define a North Star Metric for a product and explain how it guides KPI selection and growth decisions.
GitHubInvestigate why a key KPI moved the wrong way after a product change and separate signal from noise.
GitHubExplain how to choose an appropriate significance test based on metric type, study design, and the null hypothesis.
GitHubTests machine learning problem framing, feature design, and evaluation for subscription churn at GitHub.
GitHubTests product analytics thinking for defining metrics, instrumentation, and adoption measurement on GitHub.
GitHubTests data quality handling and robust metric construction under telemetry bias and missingness.
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