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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

#11

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.

Well, there's a job post on HN right now looking for data scientists :)

Re: A Student's Guide to Preparing for Data Science Interviews

#12

Earlier 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…

I overheard some colleagues talking about a recent interview where a candidate with "stellar industry experience", i.e. Kaggle wins and previous ML experience at a valley company, who couldn't explain Bayes rule to them, let alone rederive Naive Bayes. While books like the one below are extremely theoretical, anyone interviewing for these kind of roles should spend at least a week or two just looking through this to see what kind of algorithms and properties are studied in theory.

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

#13

Earlier 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…

The stat questions you mentioned are all answered from a introductory modeling book or class. I am surprised those subjects are not even talked about in a data boot camp.

Re: A Student's Guide to Preparing for Data Science Interviews

#14

Earlier 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…

Having never been to a data boot-camp -- what _do_ they teach there, if those wouldn't be covered?

Re: A Student's Guide to Preparing for Data Science Interviews

#15
post #2

Unfortunately 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.

Re: A Student's Guide to Preparing for Data Science Interviews

#16

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.

We exist. I just presented at a firmwide Data Science Forum for a very large financial firm.

Re: A Student's Guide to Preparing for Data Science Interviews

#17

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.

Ad-tech, fin-tech, marketing analytics firms all hire data scientists in huge numbers. Media companies as well, increasingly. This is probably NYC-biased.

Re: A Student's Guide to Preparing for Data Science Interviews

#18
post #2

Unfortunately 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…

I recently graduated from University of Pennsylvania with a masters in computer science after 9 years experience as a DBA and GIS, + 1 year experience working for a social media lab doing natural language processing (co authored on several papers) + 1 year experience working with big data (10 tb in size).

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

#19
post #14

Earlier 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?

Galvanize, the one mentioned in the article and markets the most, is vague on their curriculum but is more scikit-learn oriented. https://www.galvanize.com/san-francisco/data-science#curricu...

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

#20
post #2

Unfortunately 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.

Good to know. As a new grad I couldn't really claim to have any experience, so that wouldn't have helped me. I was just commenting that these requirements were absurd, considering that the pool of people meeting them would be so small.

Definitely will take note of that in the future though.

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