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Updated weekly · Last refresh Aug 30

UBS Data Scientist Interview Questions

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

50questions
~7htotal time
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1
Machine LearningStart here. 9 questions · ~73 min
2
SQL & Data Manipulation6 questions + 3 drills · ~78 min
3
Pipelines6 questions · ~48 min
Cloud Storage in Data PipelinesEasy

Discuss how cloud storage fits into ETL pipelines, including staging, data quality, and operational monitoring.

InfrastructureETLUBS
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4
Metrics5 questions · ~40 min
Choose Feature Success MetricsMedium

Pick a primary success metric and guardrails for a new feature, balancing user value with broader product health.

North Star MetricKPIGuardrail MetricsUBS
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5
A/B Testing & Experimentation4 questions · ~32 min
Common Pitfalls in Experiment ResultsHard

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

PeekingNovelty EffectSample Ratio MismatchUBS
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6
Statistics & Probability3 questions · ~24 min
Statistical Significance in Hypothesis TestingEasy

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

Hypothesis TestingData AnalysisStatistical SignificanceUBS
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7
More topics17 questions · ~137 min
Define Metrics for New FeaturesMedium

Define a success metric for a new feature that captures real user value, not just raw usage.

MetricsFeature Prioritizationuser valueUBS
Validate Model Before DeploymentMedium

Approach for validating a machine learning model before deployment, from offline testing to threshold and calibration checks.

Cross-ValidationAccuracyThreshold TuningUBS
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