MOUNTAIN VIEW, Calif. — LinkedIn has divvied up its respected data science team, which created features like skills, “people you may know,” “people also viewed,” and “who’s viewed ...

Bloomberg has more than 200 engineers and nearly 100 data science experts working on projects in ML, NLP, Information Retrieval and Search.

Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles is an ongoing challenge ...

Companies must move their data science efforts out of the basement lab and into production applications and strategic decision-making.

But where to start? First, it’s important to understand the role of a data scientist in order to determine the best way to build your data science “dream team.” What does a data scientist do?

For Vodafone NZ, the slogan that data science is a team sport took on new meaning. Based in a small, isolated market, the company had to bypass traditional HR approaches, taking a Moneyball-like ...

Choosing a right solution that delivers end-to-end automation of the data science process, including automated data and feature engineering, is the key to success for a data-driven company.

Data science impact scenario: Data and process change The most dramatic scenario is a complete change of the underlying system — one that not only requires an update of the data science process ...

I strongly believe that to lead a data science team, one should have a good technical skill set, either in general or related to a specific domain, and should understand what an end-to-end data ...

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The research is published in the journal Digital Discovery.