Chris Neimeth is Chief Operating Officer of the NYC Data Science Academy and a serial entrepreneur focused on the intersection of technology, media and big data.
Prior to the NYC Data Science Academy, Chris served in various strategic roles: CEO of Salon Media Group Inc., President of IAC Partner Marketing, Executive Vice President of Ticketmaster, President/CEO of Real Media, Chief Commercial Officer of Daylife, Senior Vice President for The New York Times Company Digital, and founder of Grey Interactive. He has twice served as invitee to the Aspen Institute Forum on Communication and Society, and is a two time elected Director of the Interactive Advertising Bureau.
The opinions expressed in this blog are those of Chris Neimeth and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.
Artificial intelligence is providing market competitiveness through higher productivity and lower costs across many industries. AI is also creating new data roles companies are desperate to fill; read more about these new roles.
If you are contemplating jumping into data science as a career, here are some key things to consider
Data science is booming and there is an incredible demand for skilled employees across all types of industries. However, the top data scientists have some fundamental traits that set them apart from the crowd
As blockchain technology continues to be explode in popularity and be adopted by organizations around the world, new types of data are becoming available for analysis by the most recent big data technologies
The growing demand for business data roles and data-driven managers is pushing salaries to a point that one should consider a data science degree versus an MBA for management positions
Why is the position in such high demand and will it stay there in the years to come?
Small businesses can begin to unlock the power of big data by looking at examples from one of the largest companies in the world: Apple
The demand for data scientists in the coming years is expected to create an immense talent shortage. Businesses should consider retraining their existing employees as data scientists