Deutsche Bank Data Scientist Interview Questions

The questions to prepare for a Deutsche Bank Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

Supervised vs Unsupervised for Fraud

Easy

Tests your conceptual understanding of learning paradigms and how they map to fraud detection use cases.

fraud detectionUnsupervised LearningSupervised Learning

Deutsche Bank

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Statistical Significance in Hypothesis Testing

Easy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical Significance

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Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

Design an Installment-Flow Experiment

Medium

Design an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.

ExperimentationHypothesis TestingA/B Testing

Deutsche Bank

Investigate whether a performance decline is seasonal or a real product issue.

Designing Engagement Metrics for Finance Apps

Medium

Tests your skills in translating product goals into measurable engagement metrics and experimental thinking.

product metricsdesignuser engagement

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Use Window Functions

Medium

Tests SQL proficiency with window functions and correct partitioning and ordering.

Window FunctionsRankingRunning Totals

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Measuring Model Success in Transactions

Medium

Tests your ability to define and validate metrics for model performance under high throughput and business impact.

evaluation metrics

Deutsche Bank