Resume tips and recruiting tips for tech in general are difficult because opinions vary widely among people who might be looking at your resume (screeners and hiring managers) on what’s good, and in general getting through the resume stage can be a very random process.
Data science as a field makes this harder because the asks on someone in a data science role vary a ton throughout the industry. “Data scientist” can mean your primary output is papers, not unlike those you’d write at a university, and you never interact with engineers, product managers, or much of anyone else, or it can mean that you do entirely product analytics and support engineering teams in day-to-day work, or anything in between. It can be almost entirely coding-based, or involve none whatsoever; and so on.
For this reason, I think the first, most important thing to do when applying for data science …Read more →