Subscribe / Unsubscribe Enewsletters | Login | Register

Pencil Banner

4 biggest misconceptions about hiring data scientists

Sarah K. White | April 12, 2016
You probably think you know what you need out of a data scientist. However, if you believe in any of these common misconceptions, it might be time to reevaluate your business' expectations for current and future data scientists.

Data won't change

If your business model involves hiring a data scientist and leaving them to use the same data model for years to come, you will be setting your business up for disappointment. Technology is advancing at such a rapid pace that anyone getting into big data should expect their role to drastically shift over the coming years, according to Nejmeldeen.

If you consider how much technology has forced businesses to change to stay afloat over the past five to 10 years, just imagine how much it will change in the coming decade. Data has exploded, and while plenty of businesses are finally using data correctly, that doesn't mean it's time to get comfortable. Data affects every industry, not just the tech industry, so part of your data strategy should include considering the future of your corporation and the role data will play in your overall growth.

"I think we'll see software advances that will largely replace job functions as they exist today -- Artificial Intelligence embedded in Business Intelligence software will become more adept at identifying business anomalies and getting to the root of why they happened. The data science group's role will change to becoming the AI caretaker or intermediary and focusing more on optimizing future decisions, until that role too is replaced," Nejmeldeen says.

 

Previous Page  1  2  3 

Sign up for CIO Asia eNewsletters.