Datanami: Engineers Vs. Scientists: Who to Hire in Data Now?

For years, we’ve been told that data scientists hold the keys to unlocking the value hidden in our data, which has created a hiring frenzy for these folks. But many companies now are creating a variety of engineering positions – from data and data science engineers to machine learning engineers – in the hopes of boosting the effectiveness of their statistical wizards.

Data science plays a big role at Two Sigma, the 17-year old New York City hedge fund with $56 billion under management. Even before “big data” became a thing, Two Sigma was embracing statistics and machine learning at scale as ways to help find good investment opportunities faster than its competitors.

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This article is not an endorsement by Two Sigma of the papers discussed, their viewpoints or the companies discussed. The views expressed above reflect those of the authors and are not necessarily the views of Two Sigma Investments, LP or any of its affiliates (collectively, “Two Sigma”). The information presented above is only for informational and educational purposes and is not an offer to sell or the solicitation of an offer to buy any securities or other instruments. Additionally, the above information is not intended to provide, and should not be relied upon for investment, accounting, legal or tax advice. Two Sigma makes no representations, express or implied, regarding the accuracy or completeness of this information, and the reader accepts all risks in relying on the above information for any purpose whatsoever. Click here for other important disclaimers and disclosures.

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