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Data Scientist resume experience section best practices
What every data scientist resume needs to include is a strong list of professionally presented experience. Let’s take a look at how to do that.
Your experience section is often the one a potential employer looks at first. So keep in mind that the rule of a thumb is to show rather than tell. Make each bullet point of your data scientist resume experience section count, mentioning the impact you had in your previous positions. Make sure every point is accompanied with a concrete example. So don’t just say you’re great at making sense out of data, demonstrate it.
Not just logical, but chronological too!
We already covered that your experience needs to be impact-oriented. The next step is start selecting which experience to include in your data scientist resume and how to order it. It's best to keep it chronological. That means starting from the most recent position and continue further down. Also, carefully curate what experience you show (don’t just overwhelm the reader with everything you’ve ever done). The key here is to make tough choices and only include what a recruiter wants to see.
What's the average experience on resumes VS job description for a Data Scientist?
From our research it appeared that an average experience for a data scientist job required by an employer is 2.8 years. But the average experience people have in their data scientist resume is over 4 years. It's a great sign but if you come across as overqualified to a potential employer, you might loose your chances. The rule of a thumb is to tailor your resume to the job description and only leave the relevant experience in.
Average Experience On Resumes vs Job Offers
avg. experience on resumes
avg. experience on job offers
Cause and Effect - Tell them how you made a difference!
Simply put, nobody likes overused buzzwords. Your potential employer has surely read a hundred times about how someone managed or organized something without any concrete numbers to back it up. The resume skills that aren’t quantified get ignored or can even count against you. Again, the solution is to focus on concrete numbers which demonstrate your impact as a data scientist. So instead of “improved phone and email time” write “Decreased wasted phone and email time by 57%.” Including those kinds of resume action words leave a strong impression.
Unique content ideas for a Data Scientist resume
Recruiters and hiring managers read hundreds of resumes every day. That's why you need to make your data scientist resume stand out in the sea of others. That means showing your personality, not just your professional experience. Recruiters and hiring managers are far more likely to remember a candidate who seems like a genuine person and not a robot. You can do this by including your passions, favorite books, or even your life philosophy. These little improvements will make you more relatable.
Tell them what you’re proud of!
Did you learn a language on your own or started working at a failing company and saved it? These life situations can teach us so many skills! That's why it's worth mentioning them on your data scientist resume, in the Most Proud Of section. You can also share a story about overcoming hardship, learning an important life lesson, or just a triumph that means a lot to you. Either way, this is one of the best places to make your data scientist resume really stand out.
This guide shows the basics of writing a modern and effective data scientist resume. We hope you found our techniques useful and will use them wisely when creating your data scientist resume. Let us know when you get the job you love!