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Updated weekly · Last refresh Oct 17

athenahealth Data Scientist Interview Questions

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

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1
Machine LearningStart here. 11 questions · ~90 min
Regularization BasicsEasy

Explain regularization and how it reduces overfitting in supervised learning models.

Bias-Variance TradeoffRegularizationGradient Descentathenahealth
Assessing Overfitting vs UnderfittingMedium

Use training, validation, and cross-validation behavior to distinguish underfitting from overfitting in supervised models.

Cross-ValidationBias-Variance TradeoffRegularizationathenahealth
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2
NLP3 questions · ~25 min
Explain TF-IDF for Text FeaturesEasy

Explain TF-IDF and where it helps in text classification and search.

Text ClassificationTF-IDFTokenizationathenahealth
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3
Pipelines6 questions · ~49 min
Prepare Training Data PipelineMedium

Outline a repeatable pipeline for cleaning, validating, and preparing a dataset for model training.

ETLData ModelingQualityathenahealth
Data Cleaning in ETL PipelinesEasy

Approach for cleaning and preparing raw data inside an ETL pipeline.

Data WranglingETLQualityathenahealth
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4
More topics3 questions · ~25 min
Mean and Variance of DataEasy

Compute the mean and variance of a numeric dataset from first principles.

DistributionsVarianceExpected Valueathenahealth
Choose Classification MetricsMedium

Choose the right classification metrics, and explain when precision, recall, and F1 score matter most.

F1 ScorePrecisionRecallathenahealth
Why athenahealth Data ScienceEasy

Tests motivation fit and understanding of how athenahealth uses data science to improve care.

User NeedsValue PropositionProduct Visionathenahealth

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