The Harvard Business Review predicted a while back that a “data scientist” would be the “it” job of the 21st century. However, a lesser known side of data scientists is that their job can be less than glamorous. While the data scientist is expected to be a “unicorn” and do it all, there are major issues and roadblocks that arise when tackling any new data frontier.
Last month, our own predictive analytics scientist, Virginia Long, sat down with Katherine Noyes of CIO for her article: “Why being a data scientist ‘feels like being a magician.” Virginia shared what it’s really like being a data scientist, elaborating on her typical day, her favorite aspect of working with data, common roadblocks she encounters – and dispelled some common myths about her profession.
In the article, Virginia discussed her day-to-day responsibilities:
- Creating educational materials to explain how various data science techniques work
- Painting the big picture for companies and clients as to what their data means
- Managing the expectation of the data scientist, who is often expected to be a “unicorn”
Interested in learning more about the role and responsibilities of data scientists? Check out the full-piece on CIO here. If you’d like to learn how you can utilize data analytics to solve your most pressing issues, check out our solutions here.
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