To the fresh grads and incoming freshmen, we can feel your apprehension — deciding on the field or industry that might determine your career path is crazy, especially if that field involves numbers, terabytes of information, and the esoteric art of coding. With these tips though, you don’t have to go into this wild world empty-handed.
According to the 2019 Emerging Jobs in the Philippines Report by LinkedIn, one skill that the job market is sniffing around for is digital competency. (And no, we don’t mean “proficient in Microsoft Word,” so y’all can stop putting that on your CVs.) In a world governed by data and algorithms, you’ve automatically got a leg up if you know your way around technology, whether as an engineer, developer, or a sales representative who absolutely crushes at Microsoft Excel. But let’s talk about one specific profession: data scientists.
Data science is a huge, multi-disciplinary field, as we’ve learned in our roundtable interview with Mark Toledo, an app developer at CirroLytix, and Leona Lao, product manager at Cobena Business Analytics. Data science involves programming, computing, communication and other skills that involve producing insights from unstructured information.
And as the data industry matures and refines its demands, we thought we’d do a little insight-producing of our own, and let you guys in on some things to consider, if you’re interested in pursuing a career in data science. We look at three common misconceptions about the data scientist profession, and bust ‘em the way a hacker busts through a firewall. (Zuckerberg, if you’re reading this, let us know if we missed anything.)