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.
Explain how you diagnosed and optimized a slow PostgreSQL query using execution plans, indexing, and query rewrites.
Rank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
WaymoUse ROW_NUMBER() to keep the earliest created_at 'Repl created' per entity and return out-of-order duplicates to delete.
Replit
QuantcastExplain common online experimentation pitfalls and how to design, analyze, and decide in ways that avoid false wins.
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.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
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