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Prep plan
Updated weekly · Last refresh Oct 17

Analysis Group Data Scientist Interview Questions

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

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1
NLPStart here. 3 questions · ~24 min
Analyze EMR and Social TextMedium

Design NLP methods to extract signals from EMRs, social posts, and other unstructured clinical text.

Text ClassificationNamed Entity RecognitionTokenizationAnalysis Group
NLP for Mixed Unstructured DataMedium

Build an NLP pipeline for EMR notes, social posts, and other free text using extraction, classification, and modern language models.

Text ClassificationNamed Entity RecognitionTokenizationAnalysis Group
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2
Pipelines8 questions · ~64 min
Scaling ML Pipelines in ProductionMedium

Approach for scaling production ML pipelines across training, deployment, and monitoring.

InfrastructuremonitoringQualityAnalysis Group
Leverage Grid and Cloud ComputingMedium

Tests ability to scale compute and manage distributed workloads for large data science tasks.

InfrastructureToolsSchedulingAnalysis Group
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3
Statistics & Probability8 questions · ~64 min
Advanced Time-Series ForecastingHard

Tests forecasting methodology selection, validation, and handling of time-dependent structure in applied settings.

Bayesian ReasoningRegressionTime SeriesAnalysis Group
Causal Impact of Drug ReleaseHard

Tests causal inference approach, identification strategy, and practical modeling choices for healthcare claims data.

RegressionHypothesis TestingCausal InferenceAnalysis Group
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4
More topics3 questions · ~24 min
When to Use ML ModelsMedium

Tests model selection judgment and understanding of supervised versus unsupervised use cases.

Ensemble MethodsUnsupervised LearningSupervised LearningAnalysis Group
Deep Learning for Unstructured DataHard

Tests ability to design and adapt deep learning approaches for unstructured inputs and task-specific requirements.

Neural NetworksFeature EngineeringDeep LearningAnalysis Group
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