In this post, I'm going to share the interview experience for a data scientist position at Mastercard. Overall, the overall process is quite fast and efficient.
Human Resource
First, there was no HR round, and an HR communicated with me directly via email asking relevant questions such as:
- Current base salary and other perks
- Notification period
- Expected salary
- Hybrid arrangement and if I'm OK with that
- ...
Technical Round
Then the HR scheduled the first round, which is a 1 hour session with three people for checking technical skills. There was no pair-coding session, and it was mainly organized as a set of questions from each of the three interviewers.
- Asked simple SQL and python questions and to talk about the solutions
- Questions regarding ML basics
- Tech stack match between the post and my experience
- ...
After a few days, I got a call from the HR and checked my availability and fixed the interview time of the next round. It seems their internal process is quite fast.
Hiring manager round
The second (and final) round is a 45 minute session with the hiring manager and one principle individual contributor (IC). Overall, they would like to know if I could jump into the role to execute the new upcoming project.
- Details about current role
- Experience of leading (how many) people
- Practical experience of deploying ML in real-world settings
- The scale of previous projects (e.g., how many end users, data scale)
- How you would like to start structure the ML project?
- What is the north star and how did you deliver?
- ...
The final notification regarding the decision was also out quite quickly, on weekend as I recall.
Overall, the interview process of Mastercard is quite efficient and fast, and jump directly into tech details and testing match between the post and candidate. I hope this post is helpful for you in case you are preparing a similar position for Mastercard.