The field of data science is currently oversaturated, to say the least.
However, the field is not saturated with qualified candidates, if that’s what you thought you meant. She may see hundreds of candidates applying for a single job, but very few of those candidates are actually qualified people who could analyze data if their lives depended on it.
A few years ago I was involved in screening resumes for a position my company was hiring for at the time. I posted the job on LinkedIn, along with some criteria questions. In the first few days, we received between 20 and 30 applications, but after reviewing them, as well as examining those that LinkedIn filtered due to their answers to the criteria questions, only two were viable candidates. Extrapolate this experience to those data science positions where 300 candidates have applied and you can imagine how many of them are real contenders.
In technology, it’s very easy to call yourself a designer, software engineer, or data scientist. In many cases, the meaning of these job titles has changed over time. For example, “data scientist” used to refer to a high-ranking person in a company who had a master’s or doctorate-level education in the field. In contrast, now anyone who completes a data science bootcamp can feel qualified to call themselves a data scientist because they understand statistics and can use some data analysis libraries.
All of this means that with all the noise that recruiters have to cut through to reach legitimate candidates, you need to improve your resume to stand out from the rest. None of the suggestions listed below are innovative or revolutionary, and in any case, you’ve probably heard of them before. However, once you start paying attention to these details, recruiters will start paying more attention to you. Here are five things you can do with your resume to get a recruiter to double-check it.
