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MasterCard Senior Data Scientist Interview Questions and Answers

Updated 8 Jan 2025

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.
  • Ans. 

    Identify AI projects from data analysis and outline steps for implementation.

    • Analyze the data to identify patterns or trends that suggest potential AI applications.

    • Consider projects like predictive analytics for customer behavior or anomaly detection in fraud detection.

    • Engage stakeholders to understand business needs and align AI projects with strategic goals.

    • Prototype a small-scale version of the AI solution to valida...

  • Answered by AI
  • Q2. Given data and usecase, which model to use to implement solution and how detailed steps.
  • Ans. 

    Choosing the right model involves understanding the data, use case, and desired outcomes.

    • 1. Understand the problem: Is it classification, regression, clustering, etc.? Example: Predicting patient outcomes (classification).

    • 2. Analyze the data: Check for missing values, data types, and distribution. Example: Use EDA to visualize patient demographics.

    • 3. Select a model: Based on the problem type, choose a model. Example: U...

  • Answered by AI
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 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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Top trending discussions

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Interview Tips & Stories
6d (edited)
a team lead
Why are women still asked such personal questions in interview?
I recently went for an interview… and honestly, m still trying to process what just happened. Instead of being asked about my skills, experience, or how I could add value to the company… the questions took a totally unexpected turn. The interviewer started asking things like When are you getting married? Are you engaged? And m sure, if I had said I was married, the next question would’ve been How long have you been married? What does my personal life have to do with the job m applying for? This is where I felt the gender discrimination hit hard. These types of questions are so casually thrown at women during interviews but are they ever asked to men? No one asks male candidates if they’re planning a wedding or how old their kids are. So why is it okay to ask women? Can we please stop normalising this kind of behaviour in interviews? Our careers shouldn’t be judged by our relationship status. Period.
Got a question about MasterCard?
Ask anonymously on communities.

Interview questions from similar companies

I applied via Approached by Company and was interviewed before Oct 2021. There were 6 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 tips
Round 2 - Coding Test 

Simple programming test from mettl website

Round 3 - Technical 

(2 Questions)

  • Q1. First tech interview is also more of a coding round.
  • Q2. Questions on data structures in Java Multithreading Immutability
Round 4 - Technical 

(1 Question)

  • Q1. 2nd technical interview more of conceptual questions on related technology
Round 5 - Technical 

(1 Question)

  • Q1. Tech manager round based on previous project and scenario based questions
Round 6 - HR 

(1 Question)

  • Q1. Salary discuss Why you want to join paytm

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared before interview
Go through basic programming questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview before Apr 2022.

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 tips
Round 2 - HR 

(2 Questions)

  • Q1. Basic questions on myself and introduction Last project questions and skilled questions
  • Q2. Skills questionnaire

Interview Preparation Tips

Interview preparation tips for other job seekers - Project related to questions and terms related to analytics

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

I applied via Job Portal

Interview Questionnaire 

1 Question

  • Q1. Question were related with java collection, stream, string, string pool, spring,jpa

Interview Preparation Tips

Interview preparation tips for other job seekers - Excellent
Are these interview questions helpful?

I applied via Approached by Company and was interviewed in Jul 2022. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. Given a grid containing 0s and 1s and source row and column, in how many ways, could we reach form source to target. ( 1's represents a blockade and 0's represent accessable points)
  • Ans. Medium level Leetcode question ( Could be done by applying DFS and moving in 4 directions).
  • Answered Anonymously
  • Q2. 1. High Level System Design -> Design Uber like Service. Follow up -> What would be your tech stack for designing such a service to make sure it could scale when needed.
  • Ans. Multiple Youtube Videos and Blogs out there that cover different aspects of such a system
  • Answered Anonymously
  • Q3. (HLD) -> Design a service which combines multiple sources of data/documentation and aggregates it such that all info is available centrally.
  • Ans. 

    Design a service to aggregate multiple sources of data/documentation centrally.

    • Identify sources of data/documentation

    • Determine data aggregation method

    • Design a centralized database to store aggregated data

    • Develop a user-friendly interface to access the data

    • Ensure data security and privacy

  • Answered by AI
  • Q4. (Behavioral) Describe a scenario in which you went above and beyond your regular assigned tasks and responsibilities to help out the Team/Colleague/Organization.
  • Ans. 

    I took on additional responsibilities to help a colleague with a tight deadline.

    • Assisted a colleague with a project that had a tight deadline

    • Took on additional tasks outside of my regular responsibilities

    • Worked extra hours to ensure the project was completed on time

    • Provided guidance and support to the colleague throughout the project

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare about the Architecture of Kafka and also work on developing a good understanding of various types of databases and networking jargons such as Long Polling/Short Polling and how to implement them.

Also, and this is very important -> I am not sure if this company has problem at the recruiter level or this is the general outlook of this company.... if at all you didn't perform well in any of the rounds... say final round or even managerial round. They won't tell you that they have decided to drop your profile or any such thing. A week after the final interview I contacted the recruiter who used to be readily available with all the info and feedbacks was least interested and told me she haven't heard back from the manager whether to drop my case or move forward.

It has been 3 weeks now and no info from them.
And this is not just my experience, many candidates complain about the same kind of behaviour from VISA on various other platforms

Skills evaluated in this interview

I applied via LinkedIn and was interviewed in Sep 2022. There were 4 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 tips
Round 2 - Assignment 

Online assesment . 5 coding question in 90 minutes

Round 3 - Coding Test 

Hackerrank coding test with paired screen. They give problem we have to write the logic

Round 4 - Coding Test 

Again hacker rank code pair. the give problem and have to write logic. this round with staff senior engineer

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare on java problems. leet code medium problems.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Mar 2022. 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 tips
Round 2 - Coding Test 

Online test link given data structures were asked, array problem and string problem
Likewise Double Linked List was also asked

Round 3 - Technical 

(2 Questions)

  • Q1. Spring boot API endpoint description
  • Ans. 

    Spring Boot API endpoint is a URL that exposes the functionality of a web service.

    • API endpoints are the entry points for the client to access the server's resources.

    • Spring Boot provides a simple and easy way to create RESTful APIs.

    • Endpoints can be secured using Spring Security.

    • Endpoints can be documented using Swagger or Spring REST Docs.

    • Examples: /users, /products, /orders

  • Answered by AI
  • Q2. CI CD pipeline, Docker Kubernetes

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident about what you are saying
Be thorough with ur logic and ur skills

Skills evaluated in this interview

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, Resume Shortlist and HR.
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, Information Security, Analytical Chemistry 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. Given data, find out what AI project can be discovered and how to progress on i...read more
  2. Given data and usecase, which model to use to implement solution and how detail...read more
  3. LLM usecase and explain how to work on...read more

Tell us how to improve this page.

Overall Interview Experience Rating

4/5

based on 2 interview experiences

Difficulty level

Moderate 100%

Duration

Less than 2 weeks 100%
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MasterCard Senior Data Scientist Salary
based on 75 salaries
₹29.6 L/yr - ₹47.3 L/yr
24% more than the average Senior Data Scientist Salary in India
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based on 7 reviews

3.5/5

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