you have a Github or at least a Kaggle profile. Nobody (especially in industry) cares about ML buzzwords in your 'skills' list. Show, don't tell.
JMCs, don't call yourself data scientists unless
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what output? anyone can collect data, install package, and run the routine. are you a complete doo/fus?
Most DS jobs just need SQL and a bit of R. Don't overthink it.
Even still. Don't claim skill unless they're reflected in actual output.
You're describing stata monkeying, not data science. If you can do it, show it.
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what output? anyone can collect data, install package, and run the routine. are you a complete doo/fus?
Most DS jobs just need SQL and a bit of R. Don't overthink it.
Even still. Don't claim skill unless they're reflected in actual output.
You're describing stata monkeying, not data science. If you can do it, show it.
Fortune 500 data scientist here. Basic SQL queries and basic R/Python data manipulation is literally all we do.
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show what? It is trivial skillset. Might as well show that you breath air.
what output? anyone can collect data, install package, and run the routine. are you a complete doo/fus?
Most DS jobs just need SQL and a bit of R. Don't overthink it.
Even still. Don't claim skill unless they're reflected in actual output.
You're describing stata monkeying, not data science. If you can do it, show it.
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Most people who call themselves data scientists are terrible at coding, which is why if you are hiring, you screen them out. But I don't care what they call themselves.
We probably owe this confusion to the vague definition of data science. There probably are many roles labelled 'data scientist' who fit deb9's impression of the job. But then again, those are probably the entry level jobs tailored for Paje/ets after three-month-long bootcamps, not PhDs.
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what output? anyone can collect data, install package, and run the routine. are you a complete doo/fus?
Most DS jobs just need SQL and a bit of R. Don't overthink it.
Even still. Don't claim skill unless they're reflected in actual output.
Reg monkey hybris, wow
You're in for a rude awakening
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Most people who call themselves data scientists are terrible at coding, which is why if you are hiring, you screen them out. But I don't care what they call themselves.
We probably owe this confusion to the vague definition of data science. There probably are many roles labelled 'data scientist' who fit deb9's impression of the job. But then again, those are probably the entry level jobs tailored for Paje/ets after three-month-long bootcamps, not PhDs.
The Paje/ets can code a lot better than the PhDs. That's why they get the highest paid jobs.
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The label "data scientist" is meaningless nowadays. Everyone is calling themselves that. your friend used to be a BI analyst or something.
One of my “data scientist” friends says all he does is things like =AVERAGE & =STDEV.S & VLOOKUP. He laughs when he says it but it’s what the job requires. R/Python is well above average.
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Most people who call themselves data scientists are terrible at coding, which is why if you are hiring, you screen them out. But I don't care what they call themselves.
We probably owe this confusion to the vague definition of data science. There probably are many roles labelled 'data scientist' who fit deb9's impression of the job. But then again, those are probably the entry level jobs tailored for Paje/ets after three-month-long bootcamps, not PhDs.
The Paje/ets can code a lot better than the PhDs. That's why they get the highest paid jobs.
Most of them, probably.
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what output? anyone can collect data, install package, and run the routine. are you a complete doo/fus?
Most DS jobs just need SQL and a bit of R. Don't overthink it.
Even still. Don't claim skill unless they're reflected in actual output.
You're describing stata monkeying, not data science. If you can do it, show it.
tbf, Most economists these days don't understand economics but we still call them economists.