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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 Preparation Tips

Round: Technical Interview
Experience: The technical interview included a VP round which was more of a resume round. I concentrated my interview (VP round) on Machine learning which my field is. This was kind of a trick because many people screwed up this round. Hence, VP offered to me to work in VISA HQ.

Round: Technical Interview
Experience: This technical round included questions from almost all topics of CS (SQL query, coding, Networks, Security, Hadoop and Map-Reduce).

General Tips: Do’s :
1) Start right from August
2) Prepare basics of subjects
3) Try to code using pen and paper
4) Code as many problems as you can from all domains with only 1 language (C/C++/Java)
5) Keep a friend with you at all times during interviews. If you are selected for more than 1
companies in 1 slot, ask your friend to manage your interview schedules given he knows your
priorities. I was not in a position to attend more than 2 interviews in the same slot.

Don’ts :
1) Don’t lose hope if you are not shortlisted for your dream company or any company of your choice because being an IITian you have large number of better choices and which would fit in your profile better.
2) Don’t argue with the interviewers and never pretend that you are over smart in a given domain.
3) Do not take HR rounds lightly even if you are sitting for CS companies.

Final Tips :
Start your preparation early. Placement is 90% preparation and 10% luck.
College Name: IIT Kanpur

Data Scientist Interview Questions & Answers

Visa user image Pranjal Singh

posted on 14 Jan 2015

Interview Preparation Tips

Round: Test
Duration: 120 minutes
Total Questions: 42

Round: Test
Experience: There was a test for VISA which had following sections:
Assessment Composition:
1. Coding Skills: 2 Questions - Very simple problems - 30 marks total
2. Programming: 10 Questions - Simple Java Questions --Access modifiers, inline function, Red black tree, heap
3. Machine Learning Hadoop MCQ: 6 Questions You can't answer a single question if ML/BigData is remote-land for you.
4. Networking MCQ: 6 Questions - Again basics. Data layer questions. IP class basic question, fields in ethernet header.
5. Operating System: 6 Questions - Memory management mostly
6. Infrastructure: 6 Questions - Real life scenarios - server client questions.
7. Application Security: 6 Questions
Duration: 120 minutes
Total Questions: 42

Round: Interview
Experience: Questions from all CS subjects including coding
Tips: They shortlisted 29 students for the final interviews on Day 1 Slot 1.
There were 2 rounds of technical interview and 1 interview.

General Tips: Do’s
1)      Start right from August 
2)      Prepare basics of subjects
3)      Try to code using pen and paper
4)      Code as many problems as you can from all domains with only 1 language (C/C++/Java)
5)      Keep a friend with you at all times during interviews. If you are selected for more than 1 companies in 1 slot, ask your friend to manage your interview schedules given he knows your priorities. I was not in a position to attend more than 2 interviews in the same slot.
Don’ts
1)      Don’t lose hope if you are not shortlisted for your dream company or any company of your choice because being an IITian you have large number of better choices and which would fit in your profile better.
2)      Don’t argue with the interviewers and never pretend that your are over smart in a given domain.
3)      Do not take HR rounds lightly even if you are sitting for CS companies.
Skills: C++
College Name: IIT Kanpur
Motivation: Role of my interest

I applied via Campus Placement and was interviewed before Feb 2019. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. 1. How to choose optimum probability threshold from ROC?
  • Ans. 

    To choose optimum probability threshold from ROC, we need to balance between sensitivity and specificity.

    • Choose the threshold that maximizes the sum of sensitivity and specificity

    • Use Youden's J statistic to find the optimal threshold

    • Consider the cost of false positives and false negatives

    • Use cross-validation to evaluate the performance of different thresholds

  • Answered by AI
  • Q2. 2. How to test time series trend break up?
  • Ans. 

    To test time series trend break up, statistical tests like Augmented Dickey-Fuller test can be used.

    • Augmented Dickey-Fuller test can be used to check if a time series is stationary or not.

    • If the time series is not stationary, we can use differencing to make it stationary.

    • After differencing, we can again perform the Augmented Dickey-Fuller test to check for stationarity.

    • If there is a significant change in the mean or va...

  • Answered by AI
  • Q3. 3. How do you deal with senior customer when you don't have enough data?
  • Ans. 

    Communicate transparently and offer alternative solutions.

    • Explain the limitations of the available data and the potential risks of making decisions based on incomplete information.

    • Offer alternative solutions that can be implemented with the available data.

    • Collaborate with the customer to identify additional data sources or explore other options to gather more data.

    • Provide regular updates on the progress of data collect...

  • Answered by AI
  • Q4. 4. Do you prefer working in clear defined goal space or where customer isn't sure what he wants?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be business specific.

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Not Selected

I applied via Referral and was interviewed in May 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Why are you interested in this role
  • Q2. Provide an example how you solved a problem
  • Ans. 

    I solved a problem by using machine learning algorithms to predict customer churn for a telecom company.

    • Identified relevant data sources such as customer demographics, usage patterns, and customer service interactions.

    • Preprocessed and cleaned the data to handle missing values and outliers.

    • Built and trained a machine learning model using algorithms like logistic regression and random forest.

    • Evaluated the model's perform...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. When is your Availability
  • Q2. Expectation from us
  • Ans. 

    I expect a supportive work environment, opportunities for growth, and clear communication.

    • Clear communication on project goals and expectations

    • Opportunities for professional development and growth

    • Supportive team environment

    • Regular feedback and performance evaluations

  • Answered by AI
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Describe your past exp
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. SQL and background related questions
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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

Job security

4.8

Company culture

3.8

Promotions

3.9

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Data Scientist

Gurgaon / Gurugram

2-6 Yrs

₹ 12.3-32 LPA

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