How many data scientist jobs are actually out there? I can understand data scientist being a position at one of the big 5 tech companies, but are they really in demand elsewhere? I've never actually met someone off the internet who calls themselves a data scientist.
A Student's Guide to Preparing for Data Science Interviews
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Re: A Student's Guide to Preparing for Data Science Interviews
#12Earlier quoted context omitted.
What kinds of technical questions do they ask in a data science interview?
On the stats side, often higher-level theory questions, such as "How does the k-means algorithm work?", "How do you select the best k for k-means?", "What is the curse of dimensionality?" which again would not be things covered at a data boot camp or data science thought pieces on Medium. On the technical side, there is often more-advanced SQL (nested JOINs + PostgreSQL window functions). On the big data side, there…
Foundations of Data Science (Blum, Hopcroft, Kannan) https://www.cs.cornell.edu/jeh/book2016June9.pdf
Re: A Student's Guide to Preparing for Data Science Interviews
#13Earlier quoted context omitted.
What kinds of technical questions do they ask in a data science interview?
On the stats side, often higher-level theory questions, such as "How does the k-means algorithm work?", "How do you select the best k for k-means?", "What is the curse of dimensionality?" which again would not be things covered at a data boot camp or data science thought pieces on Medium. On the technical side, there is often more-advanced SQL (nested JOINs + PostgreSQL window functions). On the big data side, there…
Re: A Student's Guide to Preparing for Data Science Interviews
#14Earlier quoted context omitted.
What kinds of technical questions do they ask in a data science interview?
On the stats side, often higher-level theory questions, such as "How does the k-means algorithm work?", "How do you select the best k for k-means?", "What is the curse of dimensionality?" which again would not be things covered at a data boot camp or data science thought pieces on Medium. On the technical side, there is often more-advanced SQL (nested JOINs + PostgreSQL window functions). On the big data side, there…
Re: A Student's Guide to Preparing for Data Science Interviews
#15Unfortunately there is very little here that isn't just general interview advice. As a new grad that went through the hunt very recently - it was a messy process. Very few places will consider you without extensive experience, or a masters/Ph.D. Of course if you're hiring people to research machine learning algorithms that's justifiable, but plenty of the responsibilities people associate with data scientists don't r…
Re: A Student's Guide to Preparing for Data Science Interviews
#16How many data scientist jobs are actually out there? I can understand data scientist being a position at one of the big 5 tech companies, but are they really in demand elsewhere? I've never actually met someone off the internet who calls themselves a data scientist.
Re: A Student's Guide to Preparing for Data Science Interviews
#17How many data scientist jobs are actually out there? I can understand data scientist being a position at one of the big 5 tech companies, but are they really in demand elsewhere? I've never actually met someone off the internet who calls themselves a data scientist.
Re: A Student's Guide to Preparing for Data Science Interviews
#18Unfortunately there is very little here that isn't just general interview advice. As a new grad that went through the hunt very recently - it was a messy process. Very few places will consider you without extensive experience, or a masters/Ph.D. Of course if you're hiring people to research machine learning algorithms that's justifiable, but plenty of the responsibilities people associate with data scientists don't r…
applied to ~85 data science positions. I can't even get recruiters to call me for a phone screening, so don't feel down =)
Re: A Student's Guide to Preparing for Data Science Interviews
#19Earlier quoted context omitted.
On the stats side, often higher-level theory questions, such as "How does the k-means algorithm work?", "How do you select the best k for k-means?", "What is the curse of dimensionality?" which again would not be things covered at a data boot camp or data science thought pieces on Medium. On the technical side, there is often more-advanced SQL (nested JOINs + PostgreSQL window functions). On the big data side, there…
Having never been to a data boot-camp -- what _do_ they teach there, if those wouldn't be covered?
Metis, another known bootcamp, does explicitly mention things like k-means, which is something I didn't know: https://www.thisismetis.com/data-science-bootcamps
Re: A Student's Guide to Preparing for Data Science Interviews
#20Unfortunately there is very little here that isn't just general interview advice. As a new grad that went through the hunt very recently - it was a messy process. Very few places will consider you without extensive experience, or a masters/Ph.D. Of course if you're hiring people to research machine learning algorithms that's justifiable, but plenty of the responsibilities people associate with data scientists don't r…
Most of these listings have over-inflated experience requirements. A lot of them will entertain you even if you have half the experience they ask for.
Definitely will take note of that in the future though.