Data Scientist applicants have rated the interview process at American Express with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 61.7% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 33 days to get hired, when considering 24 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 Scientist according to 24 Glassdoor interviews include:
One on one interview: 24%
Phone interview: 22%
Presentation: 16%
Skills test: 11%
IQ intelligence test: 11%
Background check: 5%
Group panel interview: 5%
Drug test: 3%
Personality test: 3%
Here are the most commonly searched roles for interview reports -
Friendly interviewer, asked questions about XGBoost, NLP, etc. Also asked concepts about linear regression. better be prepared with popular machine learning models, and ensure yourself is very familiar with your resume
The interview process was straightforward and easy. It consisted of:
Technical Interview – Questions on SQL, Python, statistics, machine learning concepts, and discussion of past projects.
Hiring Manager Interview – Focused on problem-solving, business understanding, communication skills, and overall fit for the role.
I interviewed at American Express (Gurgaon, Haryana)
Interview
It was a fair and structured interview, focusing on SQL, ML fundamentals (boosting, imbalance), and business cases like fraud detection. They prioritize logical thinking through puzzles and guesstimates over complex coding.
I interviewed at American Express (Gurgaon, Haryana)
Interview
It was based on machine learning and my projects..Puzzles guesstimates and case study were also tested on ..It was a campus placement so they heavily focused on statistics and rconometroc concepts ..Probability question etc