Chapter 1. Careers in Data
In this chapter, Michael Li offers five tips for data scientists looking to strengthen their resumes. Jerry Overton seeks to quash the term “unicorn” by discussing five key habits to adopt that develop that magical combination of technical, analytical, and communication skills. Finally, Daniel Tunkelang explores why some employers prefer generalists over specialists when hiring data scientists.
Five Secrets for Writing the Perfect Data Science Resume
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Data scientists are in demand like never before, but nonetheless, getting a job as a data scientist requires a resume that shows off your skills. At The Data Incubator, we’ve received tens of thousands of resumes from applicants for our free Data Science Fellowship. We work hard to read between the lines to find great candidates who happen to have lackluster CVs, but many recruiters aren’t as diligent. Based on our experience, here’s the advice we give to our Fellows about how to craft the perfect resume to get hired as a data scientist.
Be brief: A resume is a summary of your accomplishments. It is not the right place to put your Little League participation award. Remember, you are being judged on something a lot closer to the average of your listed accomplishments than their sum. Giving unnecessary information will only dilute your average. Keep your resume to no more than one page. Remember that a busy HR person will scan your resume for about ...
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