3 Critical Skills Every Successful Data Scientist Needs

3 critical skills every successful data scientist needs

Data scientists with the right combination of skills are in high demand.

But what are hiring teams on the lookout for?

As with many roles, both technical expertise and soft skills are important. As data scientist Vin Vashishta writes, data science without soft skills has “limited value to the business”.

An increasingly diverse skillset is proving essential to data science and its future. “Very non-typical skillsets” are getting more attention, says head of data science at Aon’s Centre for Innovation and Analytics (ACIA) Jennifer Cruise.

“These skills are drawn from across mathematics, statistics and computer science, but you don’t have to be a mathematician or a computer programmer to pursue careers in data science, artificial intelligence or any of the other STEM areas.”


#DataScientist, #DataEngineer, Blogger, Vlogger, Podcaster at http://DataDriven.tv . Back @Microsoft to help customers leverage #AI Opinions mine. #武當派 fan. I blog to help you become a better data scientist/ML engineer Opinions are mine. All mine.