Meesho Data Scientist Interview Questions
& Process

It was an on-campus recruitment process. First, they did resume shortlisting. Then there was an online assessment that included multiple-choice questions, two DSA problems, and one SQL question. The next step was an interview, which was conducted online. During this interview, I had to solve a DSA question. I initially solved it using DFS and was then asked to optimize it, which I did using dynamic programming. After that, the interviewer asked me some questions on the basics of Machine Learning and Probability and Statistics.

The interview process had 3 or possibly 4 rounds. The first round covered Python coding with an easy DSA question, PySpark, and some stats/math like AB testing and probability. Round 2 focused on ML depth, discussing my resume and a small DS case study. Round 3 was about ML breadth, initially resume talk, then a case study involving ML system design. I was told the third round could be the last, but a fourth might happen based on performance. I haven't heard back from the recruiter since round 3, even after I reached out.

Recruiter contacted me and set up the following: 1. A call with the Head of data, which was a screening call to gauge my interest and understand how the data team at Meesho operates. We had an extended conversation about the role of a DS manager versus an IC DS. 2. The first round involved pair programming on Hackerrank for SQL questions and using a Jupyter notebook for EDA with an analyst. This assessed my ability to write efficient SQL queries under time pressure. 3. The next round focused on probability and statistics, where the interviewer demonstrated a strong grasp of the concepts. I did not pass this round.