Data Scientist applicants have rated the interview process at CVS Health with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 64.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 27 days to get hired, when considering 85 user submitted interviews for this role. To compare, the hiring process at CVS Health overall takes an average of 20 days.
Common stages of the interview process at CVS Health as a Data Scientist according to 85 Glassdoor interviews include:
One on one interview: 27%
Phone interview: 22%
Skills test: 21%
Background check: 6%
Group panel interview: 6%
Presentation: 6%
Personality test: 6%
Other: 3%
Drug test: 2%
IQ intelligence test: 1%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 weeks. I interviewed at CVS Health in Oct 2022
Interview
I applied online and the company recruiter reached out and did screening call. Afterwards, live coding interview was scheduled. The live coding interview lasted for an hour. It was straightforward. The interviewer was straight to the point and friendly. Afterwards, case interview was scheduled which also lasted about 1 hour. The interviewer was friendly and professional but little inexperienced in conducting interviews. The case interview was little different than I expected or usually how it goes. Didn't advance afterwards. Received friendly rejection email from the recruiter rather than automated "not selected" email.
Interview questions [1]
Question 1
Live coding: sql join, CTEs, aggregation etc. python functions, list comprehensions and some basic python questions. Covers ML algorithm, statistics and experiment design questions. Case interview: company related case and explain your logic. Covers ML algorithms, experiment design and statistics.
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.
Interview questions [1]
Question 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.
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
I applied online. I interviewed at CVS Health in Mar 2026
Interview
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.