Roche Data Scientist Interview Questions

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

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Diagnose Sample Ratio Mismatch

Hard

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

Guardrail MetricsSample Ratio MismatchA/B Testing

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Handle Imbalanced Classification

Medium

Choose a classification strategy that performs well when the positive class is rare and costly to miss.

Cross-ValidationRegularizationSupervised Learning

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Product Metrics for Adoption and Impact

Medium

Tests ability to define measurable outcomes and connect product usage to patient-relevant impact.

MetricsUser NeedsProduct Vision

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Diagnose KPI Drop After Release

Medium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosis

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SQL Window Functions for Outcomes Over Time

Medium

Tests practical SQL skills for time-ordered outcome analysis and cohort computations.

Window FunctionsDate FunctionsRunning Totals

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EHR Pipeline for Trial Candidate Identification

Hard

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

pipeline designFeature StoreRetrieval

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