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MasterCard Senior Data Scientist Interview Questions, Process, and Tips

Updated 8 Jan 2025

Top MasterCard Senior Data Scientist Interview Questions and Answers

MasterCard Senior Data Scientist Interview Experiences

2 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Dec 2024. There were 4 interview rounds.

Round 1 - Coding Test 

Given Python coding challenge related to string processing and second question was matrix processing using python

Round 2 - Technical 

(4 Questions)

  • Q1. Bagging boosting and its difference and uses.
  • Ans. 

    Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.

    • Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and combining their predictions through averaging or voting.

    • Boosting involves training multiple models sequentially, where each subsequent model correc...

  • Answered by AI
  • Q2. Methods to minimize overfitting and underfitting
  • Ans. 

    To minimize overfitting, use techniques like cross-validation, regularization, early stopping. To minimize underfitting, increase model complexity, gather more data.

    • Use cross-validation to evaluate model performance on different subsets of data

    • Apply regularization techniques like L1 or L2 regularization to penalize large coefficients

    • Implement early stopping to prevent the model from training for too long

    • Increase model ...

  • Answered by AI
  • Q3. Transformer architecture
  • Q4. LLM usecase and explain how to work on it
  • Ans. 

    LLM usecase involves using Latent Linear Models for various data analysis tasks.

    • LLM can be used for dimensionality reduction in high-dimensional data.

    • LLM can be used for clustering similar data points together.

    • LLM can be used for anomaly detection in datasets.

    • LLM can be applied in natural language processing tasks such as text classification.

    • LLM can be used in recommendation systems to predict user preferences.

  • Answered by AI
Round 3 - Technical 

(2 Questions)

  • Q1. Given data, find out what AI project can be discovered and how to progress on implementing it.
  • Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
Round 4 - Behavioral 

(2 Questions)

  • Q1. Discussed each project in my resume in detail and related questions
  • Q2. Discussed team and personal behavioural questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep your basics of data science and statistics clear. Also keep only things you worked or know in your resume.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via LinkedIn and was interviewed in Apr 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Basic Question on Machine Learning Algorithms.
  • Q2. End to End project that is mostly focused on Scaling up and deployment purposes
Round 3 - HR 

(1 Question)

  • Q1. Company fit and expectations of Compensation etc.
  • Ans. 

    Company fit is crucial for long-term success. Compensation expectations should align with industry standards and experience.

    • Research the company culture and values to ensure alignment with personal values and work style.

    • Understand the company's expectations for the role and how your skills and experience can meet or exceed them.

    • Discuss compensation openly and transparently, considering industry standards, your experien...

  • Answered by AI

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Interview questions from similar companies

I applied via Walk-in and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. About your self

Interview Preparation Tips

Interview preparation tips for other job seekers - please select my profile

I applied via Campus Placement

Interview Preparation Tips

Round: Resume Shortlist
Experience: My resume had a couple of projects and a paper publication added to it, which was a part of my second year intern at TCS Innovation Labs.

Tips: I believe that the resume shortlist to appear for the test is just a formality and not a big deal to get through. Most of the students are allowed to appear for the test which is where, the main shortlisting occurs.
Although, the company does cut off people from certain departments. For example, none of the Agriculture and food engineering students were shortlisted for appearing for the test.
Also, from what I have heard, the company runs resumes through a program to take out the shortlist. Hence, certain key words such as "Scholar" or "Conference" may get you a good chance to get through the shortlisting.

Round: Test
Experience: The test is mainly quant based and how fast you can think and rationalize. They expect excellent speed; they ask you 20 questions to be answered in 30 minutes.
Tips: Normally, if a student is asked to appear for this right after his JEE examination, he would be able to get through it easily. But since our analytical thinking goes way down once we actually get in, it has to be worked upon again. I'd suggest you to solve all the quant questions of any CAT preparatory book for the American Express test. The test questions are quite similar to those that the CAT students prepare for.

Round: Technical Interview
Experience: In general, the American Express interviews are considered to be pretty peaceful compared to the interviews of other companies. I was just asked about my work at TCS Innovation Labs and the paper I would be publishing based on that work and the courses I have done in Data Analytics and what all do I know in it. They do not test the knowledge you say you possess.
Tips: While I was preparing for my interview, I was told to read about Amex and its products. Secondly, and most importantly, I was aksed to read a lot about credit card frauds and suggest ways of preventing that. Even during my time, a lot of people were asked about this and judged severely on that. This is a must must if you would be appearing for its interview.

Also, you would do well if you are able to connect with the interviewer. For instance, if both of you have been a part of the same inter IIT or have the same tastes, etc.

Also, the interviews are that peaceful that you are able to direct the interview in your favour. There are certain parts of your CV that you can easily talk about and certain parts that you would want to avoid. If you are able to think on your feet, it is easy to re direct the interview in your favour and the things that you would like to talk about; in my case, it was my work at TCS.

Round: Puzzle Interview
Experience: The main decision whether you have to be taken in or not is decided in your first round of interview after which, the puzzle interview is just a formality and to find out whether you are able to think on your feet or not. Not a big deal, pretty easy.
Tips: Nothing to be worried about, the puzzles asked are pretty easy and most probably, you would have already heard them if you have a nag of solving puzzles.

General Tips: Do not worry or stress yourself much. The interview is pretty easy if you have an edge in the skills that the company wants. I had started studying Data Analytics in my second year summer vacations, just 1 hour a day for hardly about a month. Which gave me enough of an edge. The main hurdle lies in getting through the test round where about 300 people are simply cut off.
Skill Tips: You should be able to code efficiently. Knowledge in Python and SQL is a big plus.
Also, I had done a course on Coursera called "Machine Learning" of Stanford University. Today, the company does not expect a lot of knowledge in Data Analytics from students which is why this course gave me the edge I needed to get through the interview. It's a pretty easy course and not very demanding. I would recommend this if you want to find out even whether you'd be interested in Data Analytics or not.
I was asked about the things I know and whether I have ever implemented them.
Skills: Analytics And Coding
Duration: 2
College Name: IIT Kharagpur
Motivation: American Express is known to have a good working culture and is currently the third best company to work for in India. The internship stipend is largest compared to any other company in India along with accommodation and travel. The company has a well structured internship program and also has good challenging work to offer.
Funny Moments: After the test, I was not shortlisted for the interview round.. Which broke my heart.
Just after the presentation, I walked up to the person presenting and handed him a hard copy of my resume asking him to at least give me a shot at the interview if they think my profile is good enough.
I believe that this was a turning point of this entire experience. I believe, at that moment itself, I gained their favour to take me in. Which is probably why my interview was peaceful, which is probably why I could get through even though my interview was the last among a bunch of 25 students..

Interview Preparation Tips

Round: Technical Interview
Tips: Have a good grasp of DS algo, java, etc.(Here CGPA doesn't matter)

General Tips: Do’s and Don’ts :
1. Be confident and to be confident prepare well.
2. Set the priority of your companies 
3. Don't start preparation at end. Don't ignore the content of resume.

Be confident and start preparation as soon as possible.
College Name: IIT Kanpur

Data Analyst Interview Questions & Answers

PayPal user image AKASH KUMAR SINGH

posted on 2 Dec 2016

I applied via Campus Placement and was interviewed in Dec 2016. There were 6 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. For this round he gave me lot of problems and asked to develop optimal algorithm to solve that. Problems were mainly on trees and number sequences
  • Q2. In this round he mainly discussed my projects and asked me how these can be put to use in Paypal. He also asked some basic questions from ML
  • Q3. HR round was just for formality
  • Q4. Probability , question on calculating expected number of trials and puzzles

Interview Preparation Tips

Round: Test
Experience: The coding question was:
Given a binary string containing 0's and 1's. You can split the string such that each partition should be a exponential of 5 (1,5,25,625...). You were asked to return minimum number of partition for the given string such each partition is exponential of 5. If no such partition exists return -1.
Examples: '101101101' Ans: 3 (101, 101, 101)
'111' Ans: 3 (1,1,1)
10101 Ans: -1
Tips: For MCQ's prepare DSA, OS and Networking. For DSA you can refer to cormen
For Coding question practice on either geeksforgeeks or from any of the coding platforms like hackerrank
The shortlist was mainly dependent on coding question
Duration: 1 hour 30 minutes

Round: Puzzle Interview
Tips: Do lot of puzzles from heard on the street, -----/ , Try to search for more. It will be helpful in other interviews as well

Round: Technical Interview
Tips: Practice algorithm section from geeksforgeeks. There are lot of standard problems. The given questions were slightly modified version of standard problems

Round: Technical Interview
Tips: For this round you need to be well prepared with your projects and resume.

College Name: IIT Madras

Interview Questionnaire 

1 Question

  • Q1. Explain about self introduction

I applied via Recruitment Consultant and was interviewed in Sep 2021. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. Hackkerrank (3 questions 90 (LC-Medium &Easy)).
  • Q2. Round 1 DS&Alog Problem solving (LC- Medium) .Round 2 DS & Algo LC-Medium.Round 3 design LinkedIn Data modelling and HLD. Round 4 HLD+LLD+Data modelling for restaurant reservation system.

Interview Preparation Tips

Interview preparation tips for other job seekers - Practice Practice & Practice.Be prepared for a System design interview.Trust me it will be easy
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all Resume tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Easy question from leetcode.
Round 3 - One-on-one 

(1 Question)

  • Q1. Just normal questions based on resume and previous projects
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Design an econmerce website
  • Ans. 

    Design an ecommerce website for online shopping

    • User-friendly interface for easy navigation

    • Secure payment gateway integration

    • Product categorization and search functionality

    • Customer reviews and ratings

    • Responsive design for mobile compatibility

  • Answered by AI

Skills evaluated in this interview

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MasterCard Interview FAQs

How many rounds are there in MasterCard Senior Data Scientist interview?
MasterCard interview process usually has 3-4 rounds. The most common rounds in the MasterCard interview process are Technical, Behavioral and Resume Shortlist.
How to prepare for MasterCard Senior Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at MasterCard. The most common topics and skills that interviewers at MasterCard expect are Python, SQL, Analytical Chemistry, Information Security and Information Technology.
What are the top questions asked in MasterCard Senior Data Scientist interview?

Some of the top questions asked at the MasterCard Senior Data Scientist interview -

  1. LLM usecase and explain how to work on...read more
  2. Bagging boosting and its difference and us...read more
  3. Methods to minimize overfitting and underfitt...read more

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MasterCard Senior Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more

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MasterCard Senior Data Scientist Salary
based on 53 salaries
₹18.8 L/yr - ₹44 L/yr
25% more than the average Senior Data Scientist Salary in India
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MasterCard Senior Data Scientist Reviews and Ratings

based on 7 reviews

3.3/5

Rating in categories

3.3

Skill development

3.5

Work-life balance

3.3

Salary

3.2

Job security

3.8

Company culture

2.8

Promotions

2.9

Work satisfaction

Explore 7 Reviews and Ratings
Senior Data Scientist

Gurgaon / Gurugram

3-9 Yrs

Not Disclosed

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