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Myntra Data Scientist Interview Questions and Answers

Updated 26 Jul 2024

Myntra Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Jan 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Transformer models.
Round 2 - Case Study 

Related to Mathematical intuition in Deep learning.

Data Scientist Jobs at Myntra

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Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. Basic ML questions and projects
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Simple groupby questions in pandas?
  • Q2. Group by questions in SQL?

Interview Preparation Tips

Interview preparation tips for other job seekers - Lot of opportunity for learning within the company
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Tell me about your projects?
  • Q2. How do you approach the project if you are using logistic regression model?
  • Ans. 

    Approach involves data preprocessing, model training, evaluation, and interpretation.

    • Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

    • Split the data into training and testing sets.

    • Train the logistic regression model on the training data.

    • Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

    • Interpret the model coefficients to under...

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. What are you future goals?
  • Q2. What would you do if your interested field doesnt have any work in the company?
  • Ans. 

    I would seek opportunities to apply my skills in related fields within the company.

    • Explore other departments or teams within the company that may have projects related to my field of interest

    • Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

    • Seek out professional development opportunities to expand my skills and knowledge in related areas

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Basic Recommendation System Questions
  • Q2. A B Testing Questions
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Explain bagging vs boosting
  • Ans. 

    Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models.

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

    • Boosting involves training multiple models sequentially, where each subsequent model corrects the errors made by the previ...

  • Answered by AI
Round 2 - Case Study 

How to judge if the comment is actually describing a product

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Case Study 

Business Related case study, signed NDA

Round 2 - Technical 

(2 Questions)

  • Q1. Count number of Parameters in BERT
  • Q2. 3 sum array problem

Interview Preparation Tips

Interview preparation tips for other job seekers - NA
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Came for campus. Asked questions around basics of ML namely CV, L1, L2 loss & their assumptions, Boosting and Bagging
Round 2 - One-on-one 

(1 Question)

  • Q1. Gave a case study on solving a NLP problem

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:
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 - Aptitude Test 

Explain dynamic programming with memoization

Round 3 - HR 

(2 Questions)

  • Q1. Where are you from, and why are you joining the company
  • Q2. Why are you joining the company

Interview Preparation Tips

Interview preparation tips for other job seekers - First, they will ask about the breadth of your ML skills and the depth going forward
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Double-check your resume for any spelling mistakes. The recruiter may consider spelling mistakes as careless behavior or poor communication skills.
View all Resume tips
Round 2 - Coding Test 

2 Question and live coding was conducted on self platform

Round 3 - One-on-one 

(1 Question)

  • Q1. Taking about ML and statitics
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Myntra Interview FAQs

How many rounds are there in Myntra Data Scientist interview?
Myntra interview process usually has 2 rounds. The most common rounds in the Myntra interview process are Technical and Case Study.
How to prepare for Myntra 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 Myntra. The most common topics and skills that interviewers at Myntra expect are Data Science, Machine Learning, Python, NLP and Information Retrieval.

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Myntra Data Scientist Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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Myntra Data Scientist Salary
based on 27 salaries
₹12.4 L/yr - ₹40 L/yr
83% more than the average Data Scientist Salary in India
View more details

Myntra Data Scientist Reviews and Ratings

based on 1 review

5.0/5

Rating in categories

5.0

Skill development

5.0

Work-life balance

4.0

Salary

5.0

Job security

5.0

Company culture

3.0

Promotions

4.0

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Data Scientist

Bangalore / Bengaluru

0-5 Yrs

Not Disclosed

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