{"id":2468,"date":"2019-09-27T10:38:31","date_gmt":"2019-09-27T10:38:31","guid":{"rendered":"https:\/\/www.piczasso.com\/?p=2468"},"modified":"2019-09-27T10:38:31","modified_gmt":"2019-09-27T10:38:31","slug":"understanding-various-roles-in-data-science","status":"publish","type":"post","link":"https:\/\/www.piczasso.com\/understanding-various-roles-in-data-science\/","title":{"rendered":"Understanding various roles in data science"},"content":{"rendered":"

Data science has been a buzzword in the industry. Especially because of the lucrative job opportunities and the prospect of growth it offers. Compared to other jobs in the industry, roles in data science are expected to grow at 11 percent annually between 2014- 2024. This is more than the average job growth rate in any sector. Moreover, the average compensation for an entry-level role in data science is more than the national median wage across most nations.<\/p>\n

Inevitably, data science has caught attention of job seekers. Fresh graduates are striving to get into data science, while seasoned professionals are putting in effort to learn and transition to a data science career<\/a>. <\/strong>\u00a0<\/strong><\/p>\n

Why is there <\/strong>demand for data science roles?<\/strong><\/p>\n

Demand for data science spiked almost instantaneously as companies got their hands on large volumes of data. Although data-driven decision making was a part of well-performing organizations earlier, it became mainstream as companies got access to large volume data. Companies can now use this data to understand customer and their behavior, sort operational challenges, and build better employee retention strategies.<\/p>\n

Problems which were earlier solved with guesswork or hit-and-trial methods are now solved with data techniques \u2013 collectively called data science. It combines statistical techniques, programming, and sophisticated machine learning algorithms to dissect problems to their simplest form and derive solutions. Thus, requiring companies to hire people skilled in data science.<\/p>