I'm an EU citizen and I have 3 years of experience as a data scientist and I have a master's in mathematics. I have been applying for jobs for quite a while now. Rarely do I apply to jobs in Eastern Europe (where I live), but when I do, I usually get an HR interview. I also get a lot of unsolicited linkedin messages from recruiters in my area as well....

Have an interview with a candidate, i am absolutely positive the person is lying and is straight up making up the role that they have. Their achievements are perfect and identical to the job posting but their linkedin job title is completely unrelated to the role and responsibilities that they have on the application. We are talking marketing analytics...

Does somebody know some resources where I can see/read about data science projects successfully implemented in practice? I feel that 90% of people just talk about gaining insights and improving decisions, but I rarely read about such projects in practice. submitted by /u/cognitivebehavior [link] [comments]

Recently: A medium-sized manufacturing company hired a data scientist to use data from production and its systems. The aim is to derive improvement projects and initiatives. Some optimization initiatives have been launched. Then: The company has been struggling with falling sales for six months, so it decided to take a closer look at the personnel...

I'm in a bit of a pickle (admittedly, a total luxury problem) and could use some community wisdom. I work as a data scientist, and I often work with large local datasets, primarily in R, and I'm facing a decision about my work machine. I recognize this is a privilege to even consider, but I'd still really appreciate your insights. Current Setup: MacBook...

Is it "Lie-Curt", or "Lick-Urt"? I've mostly heard the former, but an old psych prof told me it's the latter. (If you don't know, "Likert Scores" is the formal word for integer ranking scores from respondents, such as "rate this movie from 1 to 5 stars, with '5' being the best.) EDIT: I wanted to post this in response to several different threads: this...