What to Include in a Data Science Resume

Recruiting Process

Seeking jobs as a data scientist has always been a struggle. The eagerness of landing a lucrative career, notwithstanding the stringent hiring process that involves multiple technical rounds, assignments, and interviews.

But even before getting into this, creating a resume or a portfolio is a daunting task.

While you may think that putting out skills in a word document is the simplest thing you need to do, try to remember, your resume is going to create the first impression to your employers and hiring managers. Therefore, you must not make a mistake while curating your resume.

Aspiring data science professionals need to ensure they present their resumes that creates a major impact right at the first glance itself.

Below are some of the important points a data scientist should include in their resume.

  • Emphasize on the projects and assignments

Employers are much more interested in the skills you possess and how easily you could solve a complex problem. Make sure to add the projects you’ve worked upon. Hiring managers seek to hire professionals with hands-on experience in tools and technologies.

  • Highlight your achievements and education

Never engage your employer with fluff just to increase the word count in your resume.

For instance, instead of writing a phrase – I have a strong background in mathematics and statistics, project your message directly. Instead, use phrases like – attended Harvard University studying Statistical analysis and was awarded top prize for my thesis.

The more precise and detailed you are with your achievements, the more likely you’ll be in securing the job.

A typical generic resume will be filled with words that are rather vague and makes no sense. Remember, you’re here to get into a data science career. No company will entertain you if your resume falls under this category. If you’re talking about accomplishments, make sure they see data.

For instance, “I was able to boost my teams’ performance by 13 percent within two years resulting in a 40 percent growth rate.”

  • Never repeat the same resume

Remember to keep your resume updated, you might find HR managers who’ve seen your resume in the past years. They can easily identify a generic and multi-applicable resume whey they come across one. Ensure to customize your resume for every other data science job you apply.

  • Make use of online writing tools

Since you’re tech-savvy, there’s no acknowledgment of your writing skills to be at its best, but this does not mean you cannot curate your resume. You can find multiple online writing tools to improve your resume, some of which are mentioned below.

  • Easy Word Count & Grammar Checker – keep track of the word count and checks any grammatical error.
  • Cite It In & Via Writing – free tools and blogs to help add references to your resume and free tips to improve your writing skills.
  • Essayroo & Assignment Writing Service – these are some of the leading resume proofreading services to ensure your resume is free of errors, also it is reviewed by the best Australian writers in Australian help review.
  • State of Writing & My Writing Way – writing guides to help improve your writing techniques.
  • Academized & BoomEssays – these are consultancies that provide you with knowledge and tips for a better writing style.

A resume is just the first step toward landing a data science job. There are many other parts of the interview process the employer is interested in. Resumes are just the initial screening process. if employers don’t find your resume interesting enough, they might just toss your resume in the rejection list.

Ensure your resume makes an impact at first glance itself.