My Interview Experience and offer (Swiggy Data Scientist 1 role)
Off-campus opportunity via referral. All of these were knockout rounds

1) Coding round:
i) 1 hr interview with data scientist 2
ii) The coding-focused interview covering Python (functions, try-except, loops, decorators, multithreading), basic Pandas (like groupby), and SQL (including subqueries). It also included one DSA question—Stocks Buy and Sell (LeetCode, easy-medium level). Throughout the round, I was asked to explain my approach and reasoning behind each solution.

2) ML depth/breath round :
i) 1 hr interview with senior data scientist
ii) The ML depth/breath round covered core statistics including mean, variance, central limit theorem, Type I/II errors, the reasoning behind sample standard deviation being σ/√n, and a proof for the variance of the sample mean. Probability questions were also asked. In data science, I was questioned on evaluation metrics like precision, recall, F1-score, ROC-AUC, regularization techniques, bias-variance tradeoff, and metrics for evaluating KMeans clustering. The deep learning section included CNN output size formula with reasoning behind each term (like why +1 is added), dropout behavior (including impact of stacking dropout layers vs placing dropout between layers), vanishing gradients in RNNs, and how LSTMs solve them.

P.S. This is just summary of second round. He dived deep into each concepts and created "what if" scenarios

3) Problem Solving round :
i) 1 hr interview with Director Instamart (they were hiring for Instamart team)
ii)The Problem Solving round focused on ML system design, starting with a discussion on my past work, approach, and reasoning. I was then given real-world problems the team is working on. The first task was to design a solution for dynamically displaying filters based on the searched product. The second was to build a model to estimate delivery time, inspired by a Swiggy Bytes technical blog.

4) Hiring Manager round :
i) 1 hr interview with Senior Manager Instamart
ii) It was a casual conversation focused on behavioral and situational questions, discussing how I relate to Swiggy's values. It was mostly informal with no technical questions asked.

Compensation details : https://leetcode.com/discuss/post/6740557/swiggy-data-scientist-1-bangalore-by-kus-fat9/