AutoScout24 Data Scientist Interview Questions
The questions to prepare for a AutoScout24 Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how you would design and analyze a UX A/B test, from hypothesis and power to guardrails and launch decision.
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Explain how to preprocess missing data for a supervised learning task without introducing leakage or degrading model quality.
Explain common machine learning evaluation metrics and when each is useful.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
Tests engineering discipline around versioning, data lineage, and repeatable results.
Tests your ability to prepare reliable data for modeling and analytics.
Count valid daily interactions and return the top three users using aggregation and deterministic ranking.
Use joins, aggregation, a CTE, and ROW_NUMBER to rank Instagram Save users by quarterly engagement within each region.
MetaMeasure sequential Airbnb Homes funnel engagement and drop-off using CTEs, joins, aggregation, and LAG.
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