Writing a resume for data science job applications is rarely a pleasurable experience, but the majority of firms demand a resume to apply for any available positions, and a resume is frequently the first stage of the process in getting past the hiring manager.
By definition, a resume is a succinct written overview of your professional, personal, and educational qualities and experience. Writing a quick account of your personal experiences may appear to be a simple task, yet many people struggle with it. Here are some tips on how to construct a resume that is clear and simple enough to capture the attention of a hiring manager or recruiter.
- Each resume should be tailored to the job description and company
While you can absolutely build a single data scientist resume and send it to every data job you apply for, it is also a good idea to attempt to tailor your resume for each application you submit.
Adding little details here and there, in accordance with the job description, will undoubtedly impress the hiring manager or recruiter, even if it means extra work up front. If you notice crucial keywords and talents specified in the job offer, make sure the resume you’re submitting showcases those skills and uses them. You should also look at the company’s website to get a sense of their preferred style and tone, and then adapt the language and aesthetics of your resume appropriately.
- Include your contact information
Always put your name, headline, and contact information at the top of the page. The contact information for certain templates will be at the bottom of the page. If this is the case, you will need to manually alter the order. If a recruiter or hiring manager contacts you based on your resume, you don’t want them to have to sift through your whole resume to discover that information.
- Highlight your education
Many resume templates feature education first, but if you have job experience or relevant projects to highlight, you should highlight those first and move education to the bottom.
Some roles just demand a bachelor’s degree in any discipline, so be sure you’re in the race for them. If you don’t have a degree, simply leave the education section blank on your resume. Be sure to include a list of applicable “micro-degrees,” online training certificates, and other professional training. This is an excellent area to promote your data science credentials.
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- Talk about your work experience
This section might be labeled “Experience” or “Professional Experience.” Your most recent employment should be put first, followed by the previous position, and so on in chronological sequence. Generally, you shouldn’t go back more than five years. However, if you have relevant professional experience that dates back further, you may wish to add that as well.
While you are not required to mention all of your expertise, you should make sure that anything you list is seamless. Gaps in your job experience section of more than six months are a huge red flag for recruiters and hiring managers. If you have such a gap, you should absolutely describe it on your resume.
- Highlight your skills
When describing each project, be as precise as possible about the skills, tools, and technologies you utilized, how you built the project, and your particular contribution if you’re showcasing collaborative projects. Describe the programming language you used and any libraries you utilized. Recruiters and hiring managers frequently use basic keyword searches to review resumes, and you want your relevant talents to be emphasized in as many places as possible when they do so.
Improve Your Resume
After you’ve completed adding all of the important material to your resume, the next step is to double-check your spelling and punctuation. Having spelling or grammatical errors on your resume is a significant red flag for hiring managers.
Remember that recruiters are frequently searching for any excuse to screen out prospects because they receive hundreds or thousands of applications. While it may appear trivial, a single mistake indicates a lack of attention to detail, which may be enough for certain recruiters to dismiss your resume regardless of your qualifications and experience.