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Prep plan
Updated weekly · Last refresh Oct 17

Biogen Data Scientist Interview Questions

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

50questions
~7htotal time
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1
NLPStart here. 3 questions · ~24 min
2
Model Evaluation4 questions · ~33 min
Best Practices for Model EvaluationMedium

Explain the best practices for evaluating a model and choosing metrics that match the task.

PrecisionAccuracyRecallBiogen
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3
Machine Learning10 questions · ~82 min
Discuss TensorFlow or PyTorch ExperienceEasy

Explain your practical experience using TensorFlow or PyTorch to build, train, and evaluate machine learning models.

Hyperparameter TuningNeural NetworksDeep LearningBiogen
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4
SQL & Data Manipulation9 questions + 3 drills · ~103 min
5
Statistics & Probability5 questions · ~41 min
Understanding Type I and Type II Errors in TestingMedium

Differentiate between Type I and Type II errors in hypothesis testing with a practical example.

Hypothesis TestingStatistical SignificanceP-ValuesBiogen
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6
Pipelines3 questions · ~24 min
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionBiogen
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7
More topics16 questions · ~131 min
Assess Feedback for Product ImprovementsEasy

Framework for evaluating customer feedback and turning it into prioritized product improvements.

User ResearchUser NeedsPain PointsBiogen
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisBiogen
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The finish line: interview-readyComplete all 50 questions plus 3 hands-on drills to finish this plan.