SBB Data Scientist Interview Questions
The questions to prepare for a SBB Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate each CVS store's 7-day rolling sales average using a CTE, aggregation, join, and window function.
Explain how to handle NULLs, skewed values, and outliers when preparing an analysis dataset using SQL.
Use a customer purchase aggregation to find previously active Repsol customers with no completed purchase in the last 30 days.
RepsolRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
Waymo
CruiseExplain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
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Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Evaluates how you balance short-term and long-term outcomes in SBB product experimentation.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.