Top 23
Prep plan
Updated weekly · Last refresh Aug 30

athenahealth Data Scientist Interview Questions

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

23questions
~3htotal time
Track your progressSign up free to work through all 23 questions and resume where you left off.
Start practicing free →
1
PipelinesStart here. 6 questions · ~49 min
Cloud AI Deployment Pipeline ExperienceMedium

Discuss experience building cloud-based AI pipelines, including orchestration, processing patterns, infrastructure choices, and data quality controls.

InfrastructureToolsQualityathenahealth
Data Cleaning in ETL PipelinesEasy

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

Data WranglingETLQualityathenahealth
More Pipelines questions with a free account
2
Machine Learning11 questions · ~90 min
Predict Customer ChurnMedium

Build a churn model that flags at-risk customers early using behavioral, billing, and support signals.

Feature EngineeringModel EvaluationSupervised Learningathenahealth
Tune Hyperparameters for Model SelectionMedium

Choose hyperparameters with cross-validation and validation metrics, while balancing bias, variance, and overfitting.

Hyperparameter TuningCross-ValidationRegularizationathenahealth
More Machine Learning questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
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
More NLP questions with a free account
4
More topics3 questions · ~25 min
Choose Classification MetricsMedium

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

F1 ScorePrecisionRecallathenahealth
Mean and Variance of DataEasy

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

DistributionsVarianceExpected Valueathenahealth
Why athenahealth Data ScienceEasy

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

User NeedsValue PropositionProduct Visionathenahealth
The finish line: interview-readyComplete all 23 questions to finish this plan.