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JPMorgan Chase & Co. Data Scientist Interview Questions and Answers

Updated 10 Sep 2024

JPMorgan Chase & Co. Data Scientist Interview Experiences

2 interviews found

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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Technical 

(1 Question)

  • Q1. Work done in previous companty
  • Ans. 

    Developed machine learning models to predict customer churn and optimize marketing campaigns.

    • Built predictive models using Python and scikit-learn

    • Utilized SQL to extract and manipulate data for analysis

    • Collaborated with cross-functional teams to implement data-driven solutions

  • Answered by AI

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Interview questions from similar companies

I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between CNN and MLP
  • Ans. 

    CNN is used for image recognition while MLP is used for general classification tasks.

    • CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

    • CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

    • CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

    • CNN can handle input of varying

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic statistics . Also prepare atleast 2 , 3 ML algorithms for the interview.

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
No response
Round 1 - Coding Test 

Find second max in list, cal moving avg of a df

I applied via Approached by Company and was interviewed before Sep 2021. 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 

(1 Question)

  • Q1. Projects and Data Science concepts
Round 3 - Technical 

(1 Question)

  • Q1. Python and coding skills

Interview Preparation Tips

Interview preparation tips for other job seekers - Be through with concepts - ML, stats, NLP
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
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
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - Coding Test 

Strong DSA required to crack this Interview

Interview Questionnaire 

3 Questions

  • Q1. Mainly resume based. In detail from the project.
  • Q2. Softmax vs sigmoid
  • Ans. 

    Softmax and sigmoid are both activation functions used in neural networks.

    • Softmax is used for multi-class classification problems, while sigmoid is used for binary classification problems.

    • Softmax outputs a probability distribution over the classes, while sigmoid outputs a probability for a single class.

    • Softmax ensures that the sum of the probabilities of all classes is 1, while sigmoid does not.

    • Softmax is more sensitiv...

  • Answered by AI
  • Q3. Logistics regression (multiclass)

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the projects mentioned in your resume very well

Skills evaluated in this interview

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

I applied via Naukri.com and was interviewed in May 2023. There were 2 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 - One-on-one 

(2 Questions)

  • Q1. In depth statistics and deep learning questions.
  • Q2. Machine Learning- 2 dependant and 6 independent variables are available, which algorithm we should use?
  • Ans. 

    Use a regression algorithm like linear regression or decision tree regression.

    • Consider using linear regression if the relationship between variables is linear.

    • Decision tree regression can handle non-linear relationships between variables.

    • Evaluate the performance of different algorithms using cross-validation.

    • Consider the interpretability of the model when choosing an algorithm.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident

Skills evaluated in this interview

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JPMorgan Chase & Co. Interview FAQs

How many rounds are there in JPMorgan Chase & Co. Data Scientist interview?
JPMorgan Chase & Co. interview process usually has 1-2 rounds. The most common rounds in the JPMorgan Chase & Co. interview process are Coding Test, Case Study and Technical.
How to prepare for JPMorgan Chase & Co. 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 JPMorgan Chase & Co.. The most common topics and skills that interviewers at JPMorgan Chase & Co. expect are Data Science, Machine Learning, Python, Artificial Intelligence and Data Analytics.

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JPMorgan Chase & Co. Data Scientist Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more
JPMorgan Chase & Co. Data Scientist Salary
based on 97 salaries
₹10.9 L/yr - ₹42 L/yr
72% more than the average Data Scientist Salary in India
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4.7/5

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3.8

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4.5

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4.2

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4.8

Job security

4.8

Company culture

3.9

Promotions

4.6

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