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Updated weekly · Last refresh Sep 21

Roche Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
2
Machine Learning7 questions · ~59 min
Prevent Churn Model Data LeakageHard

Design leakage-safe feature engineering and validation for a predictive churn model.

predictive modelingdata preprocessingFeature EngineeringRoche
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3
Statistics & Probability10 questions · ~85 min
Statistical Power in ExperimentsEasy

Explain statistical power and why low-power product experiments can miss real effects and lead to weak decisions.

Power AnalysisSample SizeA/B TestingRoche
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4
Metrics4 questions · ~34 min
Diagnose Engagement DropHard

Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.

MetricsDiagnosisuser engagementRoche
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5
A/B Testing & Experimentation9 questions · ~76 min
Diagnose Sample Ratio MismatchHard

Investigate sample ratio mismatch and decide whether an experiment readout is trustworthy enough to ship.

Guardrail MetricsSample Ratio MismatchA/B TestingRoche
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6
Product Sense4 questions · ~34 min
Design Core Metrics for Digital Health ToolMedium

Evaluates metrics design for a digital health diagnostic tool.

Roche
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7
More topics13 questions · ~110 min
Processing Techniques and ToolsMedium

Assesses data preprocessing knowledge and hands-on experience with common data tools.

data processingToolsRoche
EHR Pipeline for Trial Candidate IdentificationHard

Tests end-to-end system design for clinical eligibility modeling with real-world data constraints.

pipeline designFeature StoreRetrievalRoche
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.