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Questions tagged [careers]

For questions about skills that statisticians, data scientists, etc. should have to be successful in their careers. When asking a question with this tag, make sure that it is of general interest, rather than seeking advice about your particular situation.

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What significant problems/solutions have you experienced working with software engineers?

This question is probably at least applicable for those of you that work in a commercial setting. I am working in a rather general way on process improvements with regards to communicating (or not ...
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1answer
33 views

Random matrix theory and research - a lot like doing linear algebra?

I've been searching for a subfield of research to get into and wonder whether random matrix theory could suit me well; it seems like it does, because the stuff I read, and the seminars that I watch ...
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580 views

What are the characteristics for a problem to be statistical?

Today, I read a post Computing and Sustainability: What Can Be Done?. And I found that the author of this post can easily find statistical problems in other fields, such as computer science. Since as ...
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The Masters of Applied Statistics (MAS) is a fairly new degree option. Have they proven to be a good way to start a career as a statistician?

Most MAS programs are only a few years old, and as such it's hard to find information on career outcomes of program graduates. I'm wondering if anyone who has worked with an MAS graduate, or who has ...
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How helpful is a quant job in Goldman Sachs for later PhD in Machine Learning?

I am a masters in Computer Science and am interested in pursuing a career in Machine Learning, possibly academic, in the long run. I have been offered a position related to Financial Modelling at ...
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Now that I've theoretical foundation in ML, where can I find simple, already solved, practice exercises to better my understanding of data science?

I've studied and understood well quite a bit of theoretical concepts of Machine Learning (except Deep Learning): e.g. the mathematics behind several classification and clustering algorithms, SGD and ...