BSH Hausgeräte Data Scientist Interview Questions
The questions to prepare for a BSH Hausgeräte Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Use a PostgreSQL window function to calculate inclusive 30-day rolling sensor averages for active WSP monitoring assets.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
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
CruiseFind customers with multiple valid orders while safely handling NULL customer names, customer IDs, and order amounts.
NeenOpalExplain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.
A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Define a success metric for a new feature that captures real user value, not just raw usage.
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