American Express Data Science Manager interview questions
based on 7 ratings - Updated 11 Oct 2025
Easyinterview difficulty
Mixedinterview experience
How others got an interview
60%
Applied online
Applied online
20%
Recruiter
Recruiter
20%
Other
Other
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American Express interviews FAQs
Data Science Manager applicants have rated the interview process at American Express with 1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 79.3% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
1 round: phone call with HR
2 round: paper examine of 100 minutes
3 round: on-site interviews
algorithm questions of XGBoost and more about credit card business
some multi choice questions. not so many leetcode
Interview questions [1]
Question 1
algorithm questions of XGBoost and more about credit card business
I applied through a recruiter. The process took 3 weeks. I interviewed at American Express (New York, NY) in Oct 2024
Interview
Easy overall. Recruiter reach out to match background followed by a technical round. Technical round focuses on coding and general questions about machine learning algorithms. Next round was case study interview, and last round was behavioral+industry focussed interview.
Interview questions [1]
Question 1
Logistic regression, boosting & bagging, random forests
I applied through other source. The process took 3 weeks. I interviewed at American Express (New York, NY) in Nov 2024
Interview
3 rounds, cleared them but didn't get offer due to organizational shakeups. Got interview round after attending Grace Hopper 2024. Completed 3 rounds within 3 weeks of first call, it was a smooth process altogether.