Engineer - Network Operations & Support

Getting your resume noticed by the Applicant Tracking System is super important if you want employers to actually see it. I'll give some tips to help make your resume look good to the computer system if you're applying to be a Data Scientist. 1. Keep it simple. Don't use crazy fonts, tables, or anything too wild. Stick to basics like clear section headings ("Skills," "Experience"). 2. Load up on keywords. Pull words right from the job description – Python, Machine Learning, whatever. Show you have the technical and people skills they want. 3. Use normal job titles. "Data Scientist" or "Analyst," not "Future CEO." 4. Put key info in the body text. No footers! Recruiters might not see em. Keep your name, address, LinkedIn front and center. 5. Save as a .docx or .pdf file. Make sure the pdf isn't an image or anything weird. Give it a professional name too like "FirstName_LastName_Resume". 6. Show you got the right background. Internships, projects, anything to prove you can handle a Data Science job. Numbers help – "improved model by 15%" tells em you get results. 7. Use bullet points, not paragraphs. Easier to scan. 8. Show off certifications and schoolin'. DataCamp, Coursera courses, a math/CS degree – make em shine! 9. Nix the images and logos. Recruiters tech can't handle em. 10. List technical skills first. Python, R, SQL – they wanna see you have these specifically. 11. Check for typos! Sloppy resumes might get tossed by the robot gatekeepers. 12. Test it out first. Free online tools can scan your resume before you submit to catch issues.