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Meesho Data Scientist Interview Questions and Answers for Experienced
Updated
9 Jun 2024
1 interview found
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Anonymous
Interview experience
Excellent
Difficulty level
-
Duration
-
Result
-
3 Interview Rounds
1
Coding Test Round
Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts
2
Technical Round (1 Question)
- Q1. Questions related to projects done at my previous company Add Answer
3
Technical Round (2 Questions)
- Q1. Questions related to my work at previous company Add Answer
- Q2. ML system design use case type of discussion Add Answer
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)
Also practice some level of basic PyTorch stuff and specially Bert architecture (in terms of code)
Data Scientist Jobs at Meesho
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2w (edited)
a consultant
Alternate documents for Employee verification?
My new employer asked for my previous offer letters and salary slips. When I inquired, they said it was for background verification.
However, I feel that providing these documents might affect salary negotiations, and it feels a bit unethical too.
What alternative documents can I provide for employment verification?
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Meesho Interview FAQs
How many rounds are there in Meesho Data Scientist interview for experienced candidates?
Meesho interview process for experienced candidates usually has 3 rounds. The most common rounds in the Meesho interview process for experienced candidates are Technical and Coding Test.
How to prepare for Meesho Data Scientist interview for experienced candidates?
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 Spark, Big Data, Machine Learning, Neural Networks and Python.
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