{"id":11277,"date":"2019-07-09T14:19:16","date_gmt":"2019-07-09T07:19:16","guid":{"rendered":"https:\/\/keblog.demoapp.xyz\/?p=11277"},"modified":"2022-11-18T16:36:00","modified_gmt":"2022-11-18T09:36:00","slug":"a-career-in-data-science-what-are-your-options","status":"publish","type":"post","link":"https:\/\/neo-blog.kalibrr.com\/blog\/a-career-in-data-science-what-are-your-options","title":{"rendered":"A Career in Data Science: What are Your Options?"},"content":{"rendered":"

\"a-career-in-data-science-what-are-your-options\"<\/p>\n

Great data science jobs don\u2019t simply fall on your lap, even if you\u2019ve mastered SQL, Python, or R, among others, but knowing what your options are can help find\u00a0a successful career<\/em><\/p>\n

It\u2019s a great time to be a data science professional!\u00a0Fueled by big data and AI, the demand for data science skills is growing exponentially. However, the number of skilled candidates continues to grow at a comparatively slower pace. So the high demand remains mostly unmet, and surely one of the reasons you\u2019re reading this now is because you\u2019re among those who\u2019ve realized that now is as good a time as any to consider a career in data science.<\/p>\n

But where to start? Learning data science skills can revolutionize your career, but after attending online classes, seminars, and boot camps, finding one\u2019s place in the still relatively new and evolving industry can still be complicated. For one thing, there is so far still no universal definition of \u201cdata scientist\u201d or \u201cdata analyst\u201d which most companies agree on, so different positions with the same title may require different skill sets. Then, there are a plethora of other commonly-used job titles that involve data science work that you might not come across when just searching for \u201cdata analyst\u201d or \u201cdata scientist\u201d.<\/p>\n

To best navigate your way in the data science job market, it is best to figure out what the career you want actually looks like. Are there certain industries that use data science where you most want to be in? And where can the data skills you presently have be best applied?\u00a0 Answering these questions should be the first step in your data science career journey. Although the answers might seem obvious, it\u2019s worth taking the time to probe deeper and really explore all of your potential options. And while you may not be able to look into every job title that might be used by a company, it can be helpful to know some of the most common ones.<\/p>\n

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