This event will be Livestreamed here:https://livestream.com/accounts/23925505/events/8544163
Data Scientists are a hot commodity, particularly as data changes the way that many companies do business. While it's cooled down since I finished grad school a few years ago, demand still far outstrips supply, & hiring Data Scientists (and getting hired) can be a Herculean task.
In a previous role, I was fortunate to have lead or supervised over 200 interviews, building a team from 2 to 85 people over the course of a year & a half. While this hyper-growth will probably be unique in my career (as it should be), I've picked up a few things about selecting & supporting Data Science talent.
Brendan Herger enjoys bridging the gap between data science & engineering, to build & deploy data products.
Brendan brings a unique combination of machine learning, deep learning, & software engineering skills. In his previous work at Capital One & startups, he has built authorization fraud, insider threat, & legal discovery automation platforms. In each of these cases he's lead a team of data scientists & data engineers to enable & elevate his client's business workflow (and capture some amazing data).
When he's not knee deep in a code base, Brendan can be found traveling, sharing his collection of Japanese teas, & playing board games with his partner in Seattle.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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