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Meesho Data Scientist Interview Questions and Answers

Updated 16 Jan 2025

Meesho Data Scientist Interview Experiences

3 interviews found

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

I applied via Company Website and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Coding Test 

Easy topics arrays, sequence sum.

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

Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts

Round 2 - Technical 

(1 Question)

  • Q1. Questions related to projects done at my previous company
Round 3 - Technical 

(2 Questions)

  • Q1. Questions related to my work at previous company
  • Q2. ML system design use case type of discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Make sure to be good at coding wrt DSA basics like array, strings, stacks and recursion.
Also practice some level of basic PyTorch stuff and specially Bert architecture (in terms of code)

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

Simple mediam DSA style questions around ML

Data Scientist Jobs at Meesho

View all

Interview questions from similar companies

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
4
Good
Difficulty level
-
Process Duration
-
Result
-
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 

Build a simple cat and dog image classifier

Round 3 - Technical 

(1 Question)

  • Q1. ML related questions
Round 4 - HR 

(1 Question)

  • Q1. Behavioural questions, basically to check if you will be fit in a team
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Jul 2023. 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 - Aptitude Test 

Number sires, clock, logic, arithmetic, geometry

Round 3 - Coding Test 

Code test basic, ans the basic knowledge, write code

Round 4 - Technical 

(5 Questions)

  • Q1. What is python?
  • Ans. 

    Python is a high-level programming language known for its simplicity and readability.

    • Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.

    • It emphasizes code readability and uses indentation to define code blocks.

    • Python has a large standard library and a vibrant community of developers.

    • Example: print('Hello, World!')

    • Example: import pandas as pd

  • Answered by AI
  • Q2. What is python used for?
  • Ans. 

    Python is a versatile programming language used for data analysis, web development, artificial intelligence, automation, and more.

    • Data analysis and visualization

    • Web development (Django, Flask)

    • Artificial intelligence and machine learning (TensorFlow, PyTorch)

    • Automation and scripting

    • Scientific computing (NumPy, SciPy)

  • Answered by AI
  • Q3. What type of language is python?
  • Ans. 

    Python is a high-level programming language known for its simplicity and readability.

    • Python is an interpreted language, meaning it does not need to be compiled before running.

    • It supports multiple programming paradigms, including object-oriented, imperative, and functional programming.

    • Python has a large standard library and a thriving community, making it versatile and widely used.

    • Example: Python is used for web develop...

  • Answered by AI
  • Q4. What is oops in python?
  • Ans. 

    Object-oriented programming (OOP) is a programming paradigm based on the concept of 'objects', which can contain data and code.

    • OOP allows for the organization of code into reusable components called classes.

    • Classes can have attributes (variables) and methods (functions) associated with them.

    • In Python, everything is an object, and classes can be defined using the 'class' keyword.

    • Encapsulation, inheritance, and polymorph

  • Answered by AI
  • Q5. What is array in python?
  • Ans. 

    An array in Python is a data structure that stores a collection of elements of the same type.

    • Arrays can store elements such as integers, floats, or strings.

    • Arrays are indexed starting from 0, with elements accessed using their index.

    • Example: arr = ['apple', 'banana', 'cherry']

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Swiggy Data Analyst interview:
  • Advanced Excel
  • SQL Server
  • Python
Interview preparation tips for other job seekers - online interview

Skills evaluated in this interview

I applied via Naukri.com and was interviewed before Apr 2021. There were 4 interview rounds.

Round 1 - Aptitude Test 

Technica questions related to sql

Round 2 - Technical 

(1 Question)

  • Q1. Some technical questions related to sql and advance excel .
Round 3 - One-on-one 

(1 Question)

  • Q1. Some questions related to cars insurance and second cars
Round 4 - HR 

(1 Question)

  • Q1. Salary discussion and some hr questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on sql join where clause having clause etc and advance excel
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Mar 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 tips
Round 2 - HR 

(2 Questions)

  • Q1. What’s your previous experience
  • Ans. 

    I have 3 years of experience as a data analyst in the finance industry.

    • Worked with large datasets to extract meaningful insights

    • Performed data cleaning, transformation, and visualization

    • Created and maintained dashboards and reports for stakeholders

    • Conducted statistical analysis and built predictive models

    • Collaborated with cross-functional teams to identify business opportunities

  • Answered by AI
  • Q2. What’s your skills for the current role
  • Ans. 

    I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.

    • Proficient in statistical analysis techniques

    • Skilled in data visualization using tools like Tableau

    • Strong programming skills in Python and SQL

    • Experience with data cleaning and preprocessing

    • Ability to interpret and communicate insights from data

    • Familiarity with machin...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Udaan Data Analyst interview:
  • SQL
  • Python
Interview preparation tips for other job seekers - Good to have python and sql skills and for data analyst these skills are must plus one visualisation tool
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Coding Test 

SQL query optimisation

Round 2 - HR 

(1 Question)

  • Q1. Regular discussion, about job role, why swiggy

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare excel, and sql

Meesho Interview FAQs

How many rounds are there in Meesho Data Scientist interview?
Meesho interview process usually has 1-2 rounds. The most common rounds in the Meesho interview process are Coding Test and Technical.
How to prepare for Meesho 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 Meesho. The most common topics and skills that interviewers at Meesho expect are Machine Learning, Neural Networks, Spark, Big Data and Python.

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Meesho Data Scientist Interview Process

based on 4 interviews

1 Interview rounds

  • Coding Test Round
View more
Meesho Data Scientist Salary
based on 45 salaries
₹16.5 L/yr - ₹38 L/yr
82% more than the average Data Scientist Salary in India
View more details

Meesho Data Scientist Reviews and Ratings

based on 3 reviews

3.2/5

Rating in categories

4.1

Skill development

2.7

Work-life balance

4.1

Salary

2.7

Job security

2.8

Company culture

3.2

Promotions

3.2

Work satisfaction

Explore 3 Reviews and Ratings
Data Scientist - I

Bangalore / Bengaluru

1-2 Yrs

₹ 25-36 LPA

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