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Paco Nathan  

Data Science has come a long way over the past decade plus, although staffing teams can still be a challenge. On the one hand, the curriculums for academic programs are still catching up to the field, while on the other hand good candidates are generally in short supply. Meanwhile the field keeps evolving rapidly, raising the bar. What are good ways to build a data science team? As a hiring manager, how do you navigate through recruiter practices that may not yet recognize the role or reasonable qualifications? What kind of people do you need to find? How do you get them interested in joining your team? Let's talk through how to frame the problem of building data science, how to focus on candidates who will bring complementary skills and diverse perspectives to your team? Most importantly, how do you foster core values such as curiosity and set the tone for an effective team?