As Data Science mentor I read several CVs per week. It's really sad to see how very smart people are missing job opportunities. Because in a rush of learning as many ML algorithms as possible, they forgot to educate themselves on how to reduce probability that their CV will go directly to the trash bin.
To get advice on how to make your CV outstanding, read this post till the end 😉
Let's start with a more basic thing.
🎯 How to make sure that the recruiting team reads your CV
The good news for you: in Germany, most of the companies hiring Data experts don't see the advantages of ATS and in 99% of cases your CV will be read by a real human being. So your CV must be short (ideally 1 page, max 2 pages) and contain:
✅ your previous work experience (in reverse chronological order)
✅ skills
✅ the highest education
✅ (optional) personal project(s)
If you don't have relevant work experience yet, but have done plenty of pet projects, it's a good idea to briefly describe a few of them and give a link to your portfolio.
It goes without saying that an incoherent CV, where the author jumps between full sentences and bullet points, as well as CV with a lot of spelling mistakes won't create a good impression. Give your freshly created CV for proof-reading to several trusted people before you send it to a bunch of strangers!
🎯 🎯 How to make sure that your CV helps you to get invited for an interview
🏆 There are many good candidates out there, but only one of them will get this job you're applying to. To make sure it's going to be you, all experience important for this role must be covered in your CV. And all experience, which is not relevant, is better to be removed or at least reduced to take as little space as possible.
🏆 Always start your CV with an introduction. Introduction is a short essay in elevator-pitch length about yourself: 2-3 sentences about your background, interests and what are you looking for.
Keep in mind that this elevator-pitch is for the hiring manager, so any time you apply for a different role and for a different company, double check if the introduction still looks applicable or needs to be changed.
🏆 Remove all clichés. "Detail-oriented", "Strong analytical skills", "Impactful results", "Team player", "Passion for data", "Big data expert", "Problem solver", "Excel wizard", "Effective communicator", "Continuous learner", "Out-of-the-box thinker" are rather rare invited to the interviews.
The things mentioned above are the most basic and common, however the list of tips&tricks is endless. You don't need to apply all of them. It's also bad idea to blindly copy "this CV landed me job at FAANG". Find your own style and voice.
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