Deutsche Bahn Data Scientist Interview Questions
The questions to prepare for a Deutsche Bahn Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Evaluates experimental design in a real-world rail context.
Calculate the monthly spending trends for customers using window functions and joins.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Assesses system design and ML approach for constrained, end-to-end inventory in rail services.
Tests ability to create business-relevant metrics aligned with Deutsche Bahn services.
Tests communication skills and ability to translate statistics for business colleagues.
Evaluates data-driven optimization for transportation scheduling.
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Use PostgreSQL aggregation and joins to turn dataset analysis into category-level decisions.
Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.