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![]() If you’re changing your resume in small ways for each job you apply to (for example, put Python for jobs that mention Python and R for jobs that list R if you know both), you’ll have no problem with those keyword filters. The reason people make such an exhaustive skills section is to get through the mythical data science resume keyword filters. This is a big red flag for hiring managers. A quick rule of thumb: if the skills section takes up a third of the page, it takes too much space. It’s a laundry list of skills in which no one person could have expertise. The most common mistake we see on data science resumes (that we used to make on our resumes) is what we call skill vomit. Which of these two ways to describe reporting is more compelling? Numbers draw attention, are convincing, and make your resume more readable.
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