{ "media_type": "text", "post_content": "Currently a first year consultant doing data modeling with a BI tool (some SQL, Python) and leading a team of 4. I’m thinking about applying for FAANG for a cross functional role. Should I wait until I make Manager (in 2 years) and make a jump? Or should I jump as a C? Do they require a lot of technical knowledge?", "post_id": "5fa4fc95f9458a0021719fc3", "reply_count": 12, "vote_count": 6, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants" }

Currently a first year consultant doing data modeling with a BI tool (some SQL, Python) and leading a team of 4. I’m thinking about applying for FAANG for a cross functional role. Should I wait until I make Manager (in 2 years) and make a jump? Or should I jump as a C? Do they require a lot of technical knowledge?

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Depending on the FAANG but I believe you’d have a shot at Facebook as a data scientist. A DS at FB doesn’t do any ML models but a lot of data analysis, working cross teams, driving topics etc .... So no, you don’t have to wait to acquire more tech knowledge. From your description, you are ready to apply. (I interviewed at FB few weeks ago btw)

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Nice! Hope you get the next round. So at the end of the day, depends on which product you’d like to work on.

Only thing here is, JUST SOME sql or python won't help, you will need good hands on to crack data engineer interviews at least at fb. Amazon can be easier comparatively.

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Right that’s what I thought, thanks!

You definitely could apply at Facebook for Data Engineer

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if you want swe, FAANG wants technical knowledge by definition. if you care about PM etc then maybe jumping now is worth a shot, but i doubt the tech you are working with at this stage is anything to write home about wrt FAANG

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OP Are you in Applied Intelligence

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Yes. I’m in AI

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