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Updated weekly · Last refresh Aug 30

Tempus AI Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 8 questions · ~70 min
2
Machine Learning8 questions · ~70 min
Prioritize Features for Predictive Model BuildingMedium

Develop a systematic approach to prioritize features while building a predictive model for customer satisfaction scores.

Feature EngineeringSupervised LearningTempus AI
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3
Metrics4 questions · ~35 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsTempus AI
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4
Product Sense8 questions · ~70 min
Evaluate AI Feature User ValueMedium

Framework for judging whether an AI feature creates real user value, not just technically correct output.

User NeedsUse CasesProduct VisionTempus AI
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5
Model Evaluation5 questions · ~44 min
Validating with Distribution ShiftHard

Tests understanding of distribution shift, domain generalization, and appropriate validation.

Cross-ValidationBias-Variance TradeoffAccuracyTempus AI
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6
Statistics & Probability8 questions · ~70 min
Correlation vs Causation in RWEMedium

Tests causal reasoning and statistical thinking for real-world evidence.

CorrelationCausal InferenceTempus AI
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7
More topics9 questions · ~78 min
EMR Ingestion Pipeline DesignMedium

Tests data engineering design for healthcare ingestion, transformation, and reliability.

ETLData ModelingTempus AI
NLP Project ImplementationMedium

Assesses your practical NLP experience and your ability to implement solutions end to end.

implementationTempus AI
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The finish line: interview-readyComplete all 50 questions to finish this plan.