Data scientists-- the people who straddle the line between statistician and software engineer-- are in demand like never before. Even though this kind of position has existed in many industries for years, it never had a name before, and thus it was challenging to recruit people who possessed this relatively rare mix of skills. As data sets have grown larger and computational skills have become more critical to working with data, what used to be merely challenging has become nearly impossible. The current talent scarcity means that we need to identify and develop people with backgrounds in either statistics, software engineering, or scientific research into successful data scientists. We will discuss how to grow data scientists as well as data science teams, and how to build the kind of work environment that data scientists love.