Every job title associated with big data is in high demand these days and command enviable paychecks. But when enterprises spend, they want to be sure that they get real value for their investment, the same is true for the job of data architects.
It’s better to have a good remote developer rather than a bad local one. At the same time, a great remote developer will be better than a good local one.
Today, more businesses are embarking on IT staffing and are ready to spend huge budgets on hiring the most appropriate and competent IT personnel. Because competition for human resources is fierce, companies apply non-trivial methods to improve their screening and the quality of new hires.
According to Wikipedia, "data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics." In other words, data science combines different methods of analysis of large data volumes and provides tools and artificial intelligence (AI) applications to facilitate and visualize data analyses. Since early 2010s, data science is considered to be one of the most prospective, promising and highest paid jobs in IT.
This is a reprint of my article published originally in LinkedIn Pulse and featured in Entrepreneurship.
As a startupper, you don’t live in an isolated world; you meet with potential investors and partners, go to networking events and have to share your ideas with peers and established brands to get support and attract funding. And because we all don’t live in a perfect world, the risks are high that someone will steal your idea or concept just because you don’t bother to protect your copyright and intellectual property (IP).
The continuing growth of Big Data has created a demand for job candidates with specific skills in data science and software engineering. Hiring for the right set of competencies requires insight and experience in recruiting that comes with practice, and which may not be directly available to startup founders and management teams who need it most.
