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Need some advice here. I am a fullstack developer with 5 yoe in Angular and Python. My aim is to crack FAANG companies.Now I got an offer from HSBC in a credit risk model monitoring role using Python.It is close to a data engineer role.
My question is that will it be a good idea to shift from development role to a model monitoring role if I want to move to FAANG in the future?Or does FAANG not prefer people who are not in core development roles?Amazon Microsoft Google Adobe PwC EY Citi Barclays JPMorgan Chase
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Need some advice here. I am a fullstack developer with 5 yoe in Angular and Python. My aim is to crack FAANG companies.Now I got an offer from HSBC in a credit risk model monitoring role using Python.It is close to a data engineer role.
My question is that will it be a good idea to shift from development role to a model monitoring role if I want to move to FAANG in the future?Or does FAANG not prefer people who are not in core development roles?Amazon Microsoft Google Adobe PwC EY Citi Barclays JPMorgan Chase
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I'm surprised and confused that Google's course covers R instead of Python, but who am I to argue... Just as job posting go, most jobs with R listed are ok with python, but the reverse is not anywhere close to true.
R has plenty of good things about it, but you don't see it pop up much in production environments. It's fine for analytics and research, but it's rare on teams that build ML models for long term use. Worse, the preferences of production teams often seep over into analytics and research roles, making Python even more dominant.
Oh, and you 100% need SQL.
Your professor is wrong because R can definitely be used that way. Not only are the capabilities there, so are the tools.
But your professor is also right because the community is very stats heavy. This makes finding community support for the engineering work you're interested in notably more sparse than available with the most popular general purpose language in the world.
Yup, almost no one uses R outside of academia and maybe really old school research shops
I've used it in big tech and know others who do. It's definitely not almost no one. Just not as common
Learn python and everything else follows. SQL is an important plus in practice
I would go with Python. I graduated last year knowing only R for Data Analytics work. However, I haven’t used R once and had to learn Python to work as a Data Analyst.
Noted. Might I ask what route you took to get Python under your belt?
Well, SQL seems to be associated with any course you come across, so that'll be covered. I've just noticed Puthon and R have been an either/ or type of thing. I'm leaning towards Python though, in conclusion. Wanted to check with the masses beforehand. Extra input.