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American Express Data Scientist Interview Questions and Answers

Updated 27 Sep 2024

American Express Data Scientist Interview Experiences

3 interviews found

Data Scientist Interview Questions & Answers

user image Rohan Soni

posted on 20 Jul 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. How do you define model Gini?
  • Ans. 

    Model Gini is a measure of statistical dispersion used to evaluate the performance of classification models.

    • Model Gini is calculated as twice the area between the ROC curve and the diagonal line (random model).

    • It ranges from 0 (worst model) to 1 (best model), with higher values indicating better model performance.

    • A Gini coefficient of 0.5 indicates a model that is no better than random guessing.

    • Commonly used in credit

  • Answered by AI
  • Q2. How to you train XG boost model
  • Ans. 

    XGBoost model is trained by specifying parameters, splitting data into training and validation sets, fitting the model, and tuning hyperparameters.

    • Specify parameters for XGBoost model such as learning rate, max depth, and number of trees

    • Split data into training and validation sets using train_test_split function

    • Fit the XGBoost model on training data using fit method

    • Tune hyperparameters using techniques like grid search

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Many Mcq,s.Similar to cat exam

Round 2 - Case Study 

Ml case study . Eg loan default prediction

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Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Aptitude Test 

Medium General Aptitude questions and technical(Big Data, Python etc.)

Round 2 - Technical 

(1 Question)

  • Q1. ML Algorithms (SVM, Random forest, bagging boosting, ridge, etc)
Round 3 - Technical 

(1 Question)

  • Q1. Deep equations and understading of DL and ML Algorithms
  • Ans. 

    Understanding deep equations and algorithms in DL and ML is crucial for a data scientist.

    • Deep learning involves complex neural network architectures like CNNs and RNNs.

    • Machine learning algorithms include decision trees, SVM, k-means clustering, etc.

    • Understanding the math behind algorithms helps in optimizing model performance.

    • Equations like gradient descent, backpropagation, and loss functions are key concepts.

    • Practica...

  • Answered by AI

Skills evaluated in this interview

Data Scientist Jobs at American Express

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Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Types of Chunking in data preparation in RAG
  • Q2. How Embedding works in Vector Databases
  • Q3. Explain ARIMA model
  • Q4. How can we decide to choose Linear Regression for a business problem
Round 2 - Technical 

(4 Questions)

  • Q1. What is token and it's limit for Open Source LLMs
  • Q2. Difference of a Regression and Time Series problem
  • Q3. Advantage of LSTM over RNN
  • Q4. Performance Metrics for Logistic Regression
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Detailed project questions
  • Q2. Explain completed gen ai project
  • Ans. 

    Developed a generative AI model to create realistic images of fictional characters.

    • Used GANs (Generative Adversarial Networks) to generate new images based on existing data.

    • Trained the model on a dataset of character images from various sources.

    • Implemented techniques like style transfer to enhance the diversity and creativity of generated images.

    • Evaluated the model's performance based on image quality metrics and user

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.

Round 1 - Assignment 

Assignment on credit risk

Round 2 - Technical 

(1 Question)

  • Q1. Hyperparameter tuning
Round 3 - Technical 

(1 Question)

  • Q1. Case study for problem solving
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

I was asked Python, sql, coding questions

Round 2 - Case Study 

Case study on how would you identify the total number of footfall on a airport

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I was interviewed before Apr 2023.

Round 1 - Technical 

(1 Question)

  • Q1. Basic statistics
Round 2 - Technical 

(1 Question)

  • Q1. Project related

Interview Preparation Tips

Interview preparation tips for other job seekers - Donot join citi....no job security at all...I joined and was thrown in 3months due to their restructuring and budget issues.very bad management
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Asked about ml algos
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Python coding question and ML question

Round 2 - Technical 

(1 Question)

  • Q1. ML questions from resume + general
Round 3 - One-on-one 

(1 Question)

  • Q1. Techno managerial round

American Express Interview FAQs

How many rounds are there in American Express Data Scientist interview?
American Express interview process usually has 2 rounds. The most common rounds in the American Express interview process are Technical, Aptitude Test and Case Study.
How to prepare for American Express 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 American Express. The most common topics and skills that interviewers at American Express expect are Career Development, Stakeholder Management, Agile Coaching, Data Analytics and Econometrics.
What are the top questions asked in American Express Data Scientist interview?

Some of the top questions asked at the American Express Data Scientist interview -

  1. Deep equations and understading of DL and ML Algorit...read more
  2. How to you train XG boost mo...read more
  3. How do you define model Gi...read more

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American Express Data Scientist Interview Process

based on 4 interviews

Interview experience

4.8
  
Excellent
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American Express Data Scientist Salary
based on 126 salaries
₹9.3 L/yr - ₹32 L/yr
54% more than the average Data Scientist Salary in India
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American Express Data Scientist Reviews and Ratings

based on 9 reviews

4.3/5

Rating in categories

3.3

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4.5

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3.9

Salary

4.8

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4.8

Company culture

3.8

Promotions

3.9

Work satisfaction

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Data Scientist

Gurgaon / Gurugram

2-6 Yrs

₹ 12.3-32 LPA

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