Wrong but useful. Working @Twitter, tweeting about data science and people management.
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what devops/swe skills should a data scientist be reasonably expected to learn within a year or two of starting in industry? 1- git/code review 2- basic dependency management 3- basic library design 4- basic data engineering 5- workflow automation 6- testing 7- shitposting
*insert complaint about variability of responsibilities associated with job titles here*
but i also think the big operating word here is “basic.” what is basic library design, object oriented programming? at what point does it cross into intermediate?
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