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Wednesday, September 30 • 2:00pm - 2:40pm
Open Talk: How to Hire Data Scientists: Lessons from Unicorn Hunting in the Wild

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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. 

These objectives are:
- Understand when is the right time to hire a data scientist
- Be able to explain how data science means different things to different people
- Know which kind of data scientists to hire
- Understand how to sell your company to a data scientist
- Find resources for reliably interviewing data scientists
- Garner a list of specific recommendations about where to find great ones

Speakers
avatar for Katie Kent

Katie Kent

Director, Educational Outcomes, Galvanize
Katie Kent is Director of Educational Outcomes at Galvanize, an education company that blends the lines between learning and working. At Galvanize, she leads the team responsible for partnerships with hiring employers and delivering excellent outcomes for graduates of Galvanize's full-time programs. 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... Read More →


Wednesday September 30, 2015 2:00pm - 2:40pm
DataWeek Main Stage

Attendees (8)