🔑 Preparing for interviews and want to get an offer? "Turnkey Offer" — preparation, practice, and job search assistance. Start with a free career screening:
https://unicode.school/programs/offer...

🐳 My Telegram — IT careers, case studies, and life: https://t.me/gernar228
💼 IT vacancies not listed on hh.ru: https://t.me/unicode_jobs

Analysis of a real Data Scientist interview at Sber: Python, profiling, gradient boosting, NLP, attention, QKV, and clustering.

Additionally on the topic of this episode:
🎯 ​​Preparing for a Data Scientist interview? Take a mock interview with answers from three experts:
https://unicode.school/career-help/re...

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?
8:58 AM – Answer 4
10:34 AM – Question 5: How did NLP evolve: from a bag of words to transformers?
12:55 PM – Answer 5
3:17 PM – Question 6: How is the architecture of transformers structured: Query, Key, Value?
5:41 PM – Answer 6
7:39 PM – Question 7: What are the different clustering algorithms in machine learning?
8:20 PM – Answer 7
10:01 PM – Did the candidate receive an OFFER?

For inquiries about training and services: https://t.me/gernar228_support