what it’s ACTUALLY like to work at FAANG... (Facebook/Meta, Amazon, Netflix, Google, Apple)
Автор: Tina Huang
Загружено: 2022-03-03
Просмотров: 42245
This video is sponsored by BetterHelp. Check out BetterHelp at https://betterhelp.com/TinaHuang
In this video, I talk about why people want to work at FAANG/MANGA and offer an internal perspective as a data scientist that works at one of these companies (Facebook/Meta, Amazon, Netflix, Google, Apple)
Mayuko's great video: • Why everyone wants to work at FAANG (Faceb...
⏰ Timestamps
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00:00 intro
01:44 pay & perks
07:39 pay & perks caveats
08:19 prestige
09:54 prestige caveats
10:16 calibre
12:29 calibre caveats
13:57 THING THAT PEOPLE DON'T CONSIDER
18:04 is it worth it?
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🔗Affiliates
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365 Data Science:
https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
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📲Socials
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instagram: / hellotinah
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discord: / discord
🤯Study with Tina
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Study with Tina channel:
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How to make a studying scoreboard:
• The scoreboard I use to achieve my goals (...
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🎥Other videos you might be interested in
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🐈⬛🐈⬛About me
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Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :)
📧Contact
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youtube: youtube comments are by far the best way to get a response from me!
linkedin: / tinaw-h
email for business inquiries only: hellotinah@gmail.com
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