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.
Explain how to make data science pipelines reproducible across environments, runs, datasets, dependencies, and deployment targets.
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.
Combine joins, aggregations, and window functions to compare conversion and order metrics across A/B test variants.
InstacartUse campaign data to compare conversion performance and demonstrate a data-driven answer with PostgreSQL.
Microsoft