American Express Data Science Manager interview questions
based on 7 ratings - Updated Oct 11, 2025
Easyinterview difficulty
Mixedinterview experience
How others got an interview
60%
Applied online
Applied online
20%
Recruiter
Recruiter
20%
Other
Other
Interview search
7 interviews
Viewing 6 - 7 of 7 Interviews
American Express interviews FAQs
Data Science Manager applicants have rated the interview process at American Express with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 17% positive. To compare, the company-average is 61.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Manager roles take an average of 26 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at American Express overall takes an average of 25 days.
Common stages of the interview process at American Express as a Data Science Manager according to 6 Glassdoor interviews include:
Phone interview: 44%
One on one interview: 33%
Skills test: 22%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at American Express
Interview
Application, waiting for response and the after a while interview schedule with no information on what to prepare for. Then after the interview, rejection follows immediately without any feedback. Thank you
I applied online. The process took 1 week. I interviewed at American Express (New York, NY) in Sep 2021
Interview
The recruiter called and scheduled an interview over the phone. No prior information was given about the type of interview and what to expect.
The interviewer was nice. Asked a bunch of questions and verified answers from his playbook. Also, provided feedback.
After the interview, I followed up few times with the recruiter and they never responded.
Very unprofessional experience.
Interview questions [1]
Question 1
1. What is overfitting?
2. What is L1 and L2 norm?
3. Describe difference between CNN and DNN (Fully connected network)
4. Describe the difference between Gradient boosting and random forest.
5. What is a random forest?
6. Describe the difference between Gradient boosting and XGBoost.