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Alumni Speak at Metis About New Data Science Careers
By Emily Wilson • November 09, 2015
Last week was an exciting and busy one around here! First of all, big thanks to everyone who came out to Wednesday night's Open House in NYC. It was a great turnout and the Q&A portion was a special highlight, containing so many thoughtful questions that we were happy to answer in person. Some of those questions were fielded by our outstanding panel of alumni, who participated throughout the night. We were lucky to have Daniel Shin, now a Data Scientist at IBM, Erin Dooley, a Research Analyst with the Department of Education, and Tohei Yokogawa, a Data Scientist QuaEra Insights join us to speak about their experience at Metis, their job search, and their current positions.
We're excited to take this momentum with us to San Francisco for the Open House this Thursday, November 12th. If you have questions about the Metis Data Science Bootcamp or evening courses (more on those below), please don't hesitate to reach out to us.
We also participated in and sponsored UnCubed NYC last week -- a day-long event featuring 20+ speakers on a variety of career-specific topics and more than 80 startup companies/hiring booths. Metis co-founder Jason Moss gave a presentation on what it takes to be a data scientist, and as part of our Career Services curriculum, many of our current bootcamp students (along with some alumni) were provided with passes to spend the afternoon meeting representatives from each of the startup companies present.
Now the bootcamp has ended. The daily rush of working in an intense, structured environment and collaborating with an amazing group of peers has been replaced by the hard truth that you need to find a job. No matter how incredible the career support is from your alma mater bootcamp, the onus is still on you to find that next role.
Both New York City and San Francisco are treasure troves for data science Meetups during any given week. We try to attend as many as we can. Check out this list of events we're especially interested in this week.
Countless individuals with diverse data science backgrounds are applying their skills, training, and knowledge to improve and/or solve some of the world's toughest challenges. This is referred to as the #Data4Good movement, and we were lucky enough to coordinate with DataKind to host four such individuals on a panel to ...