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We're excited to present New York City's 2nd Annual Timmy Awards (http://blogs.techinmotionevents.com/new-york-timmy-awards-2016-2/) in an effort to recognize the best places for technology professionals to work. The "Timmys" are hosted by Tech in Motion (http://www.techinmotionevents.com/), a national events organization for tech enthusiasts created by Jobspring Partners (http://www.jobspringpartners.com/) & Workbridge Associates (http://www.workbridgeassociates.com/).

We are asking the NYC tech community to weigh in by nominating companies they believe deserve to win and then voting for the finalists!

Organizations and individuals will be crowned the winners in each of the categories below on May 19th. The evening will begin with cocktails, hor d'oeuvres, music and more.

• NYC's Best Tech Startup

• NYC's Best Technology Manager

• NYC's Best Technology Work Culture (Over 500)

• NYC's Best Technology Work Culture (Under 500)

Visit Tech in Motion to learn more about The Timmy Awards! (http://blogs.techinmotionevents.com/thetimmyawards/)

Event MC: Dr. Rachel Schutt, Chief Data Scientist at News Corp

http://photos1.meetupstatic.com/photos/event/6/2/d/d/600_449365309.jpeg

Dr. Rachel Schutt is the Chief Data Scientist at News Corp, which includes The Wall Street Journal, Dow Jones, New York Post, Times of London, The Sun, The Australian; Harper Collins and Move. In this role, she is responsible for setting the global data strategy. Rachel was named a World Economic Forum Young Global Leader in 2015, and is on the 2014 Crain's New York Business 40 under 40 list.

She is the co-author of the book "Doing Data Science" based on a class she created and taught at Columbia University, where she is an adjunct professor in the Department of Statistics. Rachel is a member of the Education Board for the Institute for Data Science at Columbia. Previously, Rachel was a statistician at Google Research and holds patents based on her work in the areas of social networks, large data sets, experimental design and machine learning.

She earned her PhD in Statistics from Columbia University, a Masters degree in mathematics from NYU, and a Masters degree in Engineering-Economic Systems and Operations Research from Stanford University. Her undergraduate degree is in Honors Mathematics from the University of Michigan.

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