![]() ![]() 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. Example: Since you built a customer segmentation model to determine how to communicate with different customer types, customer satisfaction is up 17%.Example: As a side project, you built a movie recommendation engine that now saves you 26 minutes each time you need to decide which movie to watch.Example: You ran an experiment across different product features, which resulted in a 25% increase in engagement rate.Example: You built a marketing attribution model that helped the company focus on marketing channels that were working, resulting in 2,100 more users.Example: You built a model to predict who would cancel their subscription and introduced an intervention to improve monthly retention from 90% to 93%.Example: You developed a pricing algorithm that resulted in a $200k lift in annual revenue.Incorporate those specific projects into your resume. See if any projects you’ve worked on come to mind while reading it. Read the data scientist job description.Triple-check your grammar and spelling, and then have someone else read it. You don’t need to put your exact address. This is not the place you want to make a mistake. ![]() If you went to a boot camp, list it here. Otherwise, make your work the focus of your resume. Include relevant courses if you’re looking for an entry-level role.Avoid a laundry list of different skills. Only include technical skills that you’d be comfortable having to code with/in during an interview.Make this the job title you’re looking for (e.g., “data scientist”), and don’t worry about a summary unless you’re making a career change.Always try to include a measurable impact of your work. Whether for a company or yourself, what you’ve worked on should be the focus of your resume.Short on time? Here are the quick-hit summaries of each section you can apply to your resume: ![]()
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