It’s hard to hire and build a data science team. Companies like Facebook, Twitter, Airbnb, and many others have gained massive competitive advantages in their markets by building incredibly talented data science teams — and have invested serious resources in figuring out how to recruit and retain them. Data scientists are proficient in a weird combination of skills: programming, math and statistics, business acumen, and — well, science.
This talk draws from original research into the team structure and hiring practices of the most interesting companies in the Bay Area and beyond, including Facebook, Twitter, Google, Twitter, Tesla, Airbnb, Uber, Square, Coursera, The Phoenix Suns, etc — in total, Katie has conducted over 200 phone interviews with data science leads, hiring managers, CTOs, and recruiters.
This talk is presented by educational company Galvanize, and as such the talk has specific learning objectives. For the purposes of the talk, those are:
Katie Kent is the Product Manager for Galvanize Enterprise, the learning community for technology. In this role she builds executive and contributor training in software development, data science, and data engineering. Katie was part of the founding of data science training startup Zipfian Academy, where she was responsible for growth of the business from concept to acquisition. Previously Katie worked in venture capital, working with startups building data- and design-driven products. Katie’s academic background is in environmental social science research at the University of Michigan.
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