Easy and straightforward. Focus on statistics, machine learning, sql(including advanced concepts), experiment design, a/b testing, causal inference techniques. Also team specific things, like MMM if they are into marketing. Spark is required in some teams
Preguntas de entrevista [1]
Pregunta 1
Sql questions based in advanced joins and stats questions related to experimental design
The phone screen was surprisingly in-depth, lasting about 40 minutes and focusing heavily on real-world applications of data science. We discussed model development, particularly for predicting hospital readmissions, which was quite challenging. I had just practiced a similar scenario on PracHub that mirrored this section almost flawlessly. Following this, I went through a technical round where I tackled questions on feature engineering and demographic fairness. Ultimately, I received an offer but decided to decline it after weighing my options.
Preguntas de entrevista [1]
Pregunta 1
How would you build a model to predict 30-day hospital readmission risk for chronic patients? Walk through your feature engineering using claims and prescription data, model selection tradeoffs (logistic regression vs gradient boosting given explainability requirements for healthcare), how you'd handle class imbalance (around 10% readmission rate), and how you'd evaluate fairness across demographic groups before deployment.
Acudí a una entrevista en CVS Health (New York, NY)
Entrevista
Easy Chill, comfortable, wasnt difficult, more on health and pharmacy stuff,
Interview was friednly and accommodating, overall i would say good experince, the process was smooth, But applied with out reffereal
Envié una solicitud electrónica. Acudí a una entrevista en CVS Health en mar 2026
Entrevista
Interestingly, the first round was with AVP, and he discussed many mathematical concepts.. The second and third rounds were on the same day, for coding and case study. One week later was VP interview with behaviors.