How can I find these jobs? I do not use Python. I can use R. I have passed SQL-only interviews at: DoorDash (obvs) Lyft and Uber* Instacart Airbnb* Meta (back then Facebook) Google Walmart (lol they pay higher than expected)* *Take-home exercise required R or Python. I used R and passed. But a lot of small companies insist on Python. Any tips on filtering them out of my job search?
those interviews you listed are for DS and are SQL only? bit hard to believe
Yes they were all DS-Product, DS-Analytics, or for Airbnb DS-Inference I am at DoorDash DS-Analytics now and can confirm Python is not needed
well shit consider me intrigued, i can do python but istg i am not confident on doing assessments on that. maybe amazon BIEs super simple pandas exercise but thats it
If you are good at one programming language, you should be able to do in other languages. You need to make an effort to learn syntax. Moreover, you can get help from chatgpt with syntax.
I have been in data science industry for almost a decade now. Started with SAS, then R and Python/PySpark. I dont understand the rationale behind reluctance to pick Python. You wont go very far without Python and its not just small startups. Python is defacto in AI/ML industry.
For Christ's sake, even monkeys can learn python.
TC ?
can you share, why are you looking to leave dd? thinking of applying there
Product Analytics is probably the search key word. Analytics jobs don’t necessarily require python since no production.
You can skim through the job description to get a sense or just ask recruiters.
Learn Python. So easy to learn and the best one out there imo
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Closed now - thank you all
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Can I slack off as E9 at Meta?
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Modi is a legend, will be remembered for centuries to come
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Women, help me understand why this is inspirational
Learn python?
There’s not that much of python to learn. You don’t necessarily need to go to the async stuff either. It’s mostly learning how to manage nd-arrays, lists, importing GitHub repos, and dictionaries (to manage ML models input and outputs). As long as you know theory, it’s a matter of looking something up.