1. Your resume didn’t get past ATS

99% of Fortune 500 companies use an applicant tracking system (ATS) to filter qualified applicants to recruiters for further review. For a job opening with 250 applicants, only 4 to 6 will be called for an interview. If you’ve never gotten a response, it’s likely your resume never got past an ATS to get in front of a human.

How to increase your chance of success:

  • Modify your resume to highlight hard skills mentioned multiple times or near the top of the job requirements. For example, if a job posting required knowledge of specific Python packages or machine learning algorithms, be sure to list that in your resume.
  • Leverage online tools to help you find the right keywords to use on your resume to pass the ATS screen.
  • Beware of using abbreviations because ATS can be looking for terms that are fully spelled out, i.e. machine learning vs. ML. When in doubt use the same terminology in the job description as that’s most likely what ATS is configured to screen for.
  • Use Microsoft Word or PDF files for your resume to ensure ATS can scan it properly. If you don’t have Microsoft Word, Google Docs is free to use to and you can download your resume as a .docx ( Word ) or .pdf ( PDF ) file.

2. Your resume didn’t show why you’re the right fit for the role

Employers spend an average of 7 seconds on an initial resume screen. Imagine you’re creating an ad and you only have 7 seconds to convince the viewer why they should buy your product. This is the same mindset you need to use with your resume. What can you show on your resume that will convince the employer within 7 seconds you should move to the interview round?

How to increase your chance of success:

  • Format your resume to make it easy to read and highlight skills relevant to the role. Employers have no time to associate what you’ve done in the past with why you’ll be a good fit for their role if they don’t see an obvious connection.
  • Modify your resume to align with the top job requirements instead of using a standard version to apply to all jobs. This can make the difference between your resume passing an employer screen or going into the rejection pile.
  • If you’re making a career change and have no direct relevant experience, highlight how your domain experience helps you apply data science to business problems you’ve encountered firsthand.

3. You didn’t prove your data science knowledge

When an employer first sees your resume you’re like every other applicant with…

Continue reading: https://towardsdatascience.com/why-you-cant-get-a-data-science-job-ed40405bcf48?source=rss—-7f60cf5620c9—4

Source: towardsdatascience.com