what it’s ACTUALLY like to work at FAANG... (Facebook/Meta, Amazon, Netflix, Google, Apple)

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: https://www.youtube.com/watch?v=ZxCUnxwR89Q&t=1s

⏰ 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?

🎥 My filming setup
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📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

🔗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:
https://stratascratch.com/?via=tina

📲Socials
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instagram: https://www.instagram.com/hellotinah/

linkedin: https://www.linkedin.com/in/tinaw-h/

discord: https://discord.gg/5mMAtprshX

🤯Study with Tina
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Study with Tina channel:
https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGw

How to make a studying scoreboard:
https://www.youtube.com/watch?v=KAVw910mIrI

Scoreboard website:
scoreboardswithtina.com

livestreaming google calendar:
https://bit.ly/3wvPzHB

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛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: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com

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Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. ---- Keywords: ai trends, tech tutorials, tech insights, ai projects, data science, tina huang

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