Chris Neimeth

Opinions expressed by ICN authors are their own.

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.

Top 5 traits of highly effective data scientists

What can be uncovered when big data meets the blockchain

What can be uncovered when big data meets the blockchain

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

Thinking twice: Data science or MBA?

Thinking twice: Data science or MBA?

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

3 reasons why data scientist remains the top job in America

3 reasons why data scientist remains the top job in America

For the second straight year, 'data scientist' is the top job in America. Why is the position in such high demand and will it stay there in the years to come?

3 things small businesses can learn about data science from Apple

3 things small businesses can learn about data science from Apple

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

Why you should retrain your employees to become your data scientists

Why you should retrain your employees to become your data scientists

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

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