From the course: Future Proofing Your Data Science Career

The new workplace

From the course: Future Proofing Your Data Science Career

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The new workplace

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- Research indicates that 85% of the jobs today's learners will be doing during their lifetime have not been invented yet and that they'll be using technology that does not exist today to solve problems we don't yet know are problems. The U.S. Bureau of Labor Statistics says that today's learners will have eight to 10 jobs by the time they're 38. The broad implications are that this represents tremendous opportunities for data scientists. Another perspective to keep in mind is the way that corporate structures are going to be changing. MIT professor, Tom Malone, in his seminal book called, "The Future of Work," predicts that over the next decade, today's corporations will devolve into a core group of people with disciplined, specific skills. And that everything else is going to be managed across a series of networks, much the way movies are made. This is a critical shift in how work gets done and has tremendous implications not just for data scientists but for everyone, especially around the importance of developing a personal brand and building out an extensive network. I'll share more detail on how to achieve these objectives in the future career tool lessons. Every organization has to get on board in order to be successful in this new paradigm. Stephenie Stone, the CIO of America's M+W Group, a global high-tech design and construction firm, put it very clearly. She said, "Every company is a technology company, "no matter what product or service it provides. "The companies that embrace this fact are "the ones that shape our world." At the very least, not adopting the power of data science represents potentially missed business opportunities. An alternative scenario is that a company might become a target for acquisition. Or worst case, will simply go out of business. We'll delve into the background context in more detail in the following lessons. But it's important to understand that future data science careers are tied to much more than just technology shifts. These include the ways in which global economies are evolving, as well as broader trends like what it means to actually do work, how organizations are structured and managed and how value is created, stored and exchanged.

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