I wrote about this long ago (see here in 2014), and so did many other practitioners. This new post shows more maturity I think, a more coherent view about the various data scientist roles in the Industry (now that things are getting more clear for most hiring managers), and how these scientists interact between themselves and with other teams. It is also a short read for the busy professional.
Source for picture: AnalyticsInsight
There are all sorts of data scientists.
Depending on the size of the company, these roles can overlap. Many times, an employee is given a job title that does not match what she is doing (typically, "data scientist" for a job that is actually "data analyst".)
For related articles from the same author, click here or visit www.VincentGranville.com. Follow me on on LinkedIn, or visit my old web page here.
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Why I meant by "Data analysts are junior data scientists" is that they have the potential to become data scientists, but are not really considered data scientists unless they do the job of a real data scientist, and in that case, they are not junior, they just got assigned the title of "data analyst" rather than "data scientist".
I'm confused. Here you write:
"Data analysts are junior data scientists doing a lot of number crunching, data cleaning, and working on one-time analyses and usually short-term projects."
But in this article: How do you identify an actual data scientist? you write: "There is no such thing as a junior data scientist."
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