Data Science applicants have rated the interview process at Mastercard with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 64.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 21 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Mastercard overall takes an average of 32 days.
Common stages of the interview process at Mastercard as a Data Science according to 4 Glassdoor interviews include:
Group panel interview: 100%
Here are the most commonly searched roles for interview reports -
I applied through college or university. I interviewed at Mastercard (New Delhi) in Aug 2022
Interview
They started out by having me give a brief introduction of myself. After that, there was a CV round, and after that there were some machine learning questions, questions about the binomial distribution, questions about AVl tees, and questions on supervised and unsupervised learning.
Interview questions [1]
Question 1
Probability ,ML questions, CV discusses, Binomial distribution, AVL Trees
The interview panel was easy to interact with, focusing on situation based scenarios and a few technical questions that tested practical understanding rather than deep theoretical knowledge and real-world application.
First step is a phone interview with HR, next two steps are technical interviews with business case and test on programming languages, last one is a final interview to align on culture and values of the company
I applied through college or university. I interviewed at Mastercard (Gurgaon, Haryana) in Apr 2025
Interview
Asked DSA questions and then some loss functions. How they were derived. Asked about gradient descent. Also gave situations and asked how would you approach this problem what will you use some shortcomings etc.
Interview questions [1]
Question 1
They asked about log loss function and why use log.