ЖЕСТКОЕ СОБЕСЕДОВАНИЕ В СБЕР на Data Scientist

🔑 Get a free analysis of your level and a personalized training roadmap: follow the link and fill out a short brief within 5 minutes: https://offer.gernar.ru/?utm_source=y... 🐳 Telegram: https://t.me/gernar228 (subscribe, there's tons of useful information on employment and job openings, not on xx.ru) 🧠 And if you're a seasoned IT professional, text our manager the code word "REMOTE" and get a free analysis of your level and a roadmap for finding employment at an international company from a real remote expert: https://t.me/m/S0MVt890MGEy This is a breakdown of a real interview for a Data Scientist position: we watch a real interview and analyze it to understand how to answer the questions. At the interview, how to pass the interview, and what to pay attention to if you have an ML engineer interview coming up. 📕 Interview Question Database: https://gernar.ru/questions ❓ Guide to finding an IT job in 3 months without work experience: https://t.me/gernar228/788 🐳 Telegram: https://t.me/gernar228 (subscribe) TIMESTAMPS: 00:00 – Real Data Scientist Interview 00:33 – Question 1: What are mutable and immutable data types in Python? 01:23 – Answer 1 02:30 – Question 2: What are magic methods in Python and dunder methods in OOP? 02:47 – Answer 2 04:15 – Question 3: How to optimize slow Python code? 05:00 – Answer 3 07:03 – Question 4: Why are shallow trees used in gradient boosting? 08:58 – Answer 4 10:34 – Question 5: How did NLP evolve: from a bag-of-words approach to transformers? 12:55 – Answer 5 15:17 – Question 6: How is the architecture of transformers structured: Query, Key, Value? 17:41 – Answer 6 19:39 – Question 7: What types of clustering algorithms are there in machine learning? 20:20 – Answer 7 22:01 – Did the candidate receive an OFFER?