To: PKRBKR who wrote (1067121 ) 4/27/2018 3:07:35 PM From: RetiredNow 1 RecommendationRecommended By
Respond to You know, when I ran large teams and would take a look at the diversity of those teams, I would find that we were pretty diverse. I didn't target any percentages, rather, I hired the absolute best people I could hire for the various roles we needed on our teams. I also made sure that we rotated who did the interviewing and looked for people in creative ways. We ended up with a decent amount of diversity just in behaving in natural ways. But I also noted that we only ended up with about 5% black people and 10% hispanics. Did I think that was a problem? No, because that meant our team demographics were reflective of population demographics in the US for those people who were educated at the levels we were looking for. However, one place where we routinely had mostly white males and asians (Indian & Chinese) was in my Data Science department. That would be odd unless you realized that the pool of people who study that discipline were exactly being reflected in the people I hired. Did that make us non-diverse? Nope. We were exactly as diverse as the pool of candidates available at the time. Any outsider liberal would come in and say, oh look, they are racist. But my response would be, stop your bitching and go talk to universities and parents to encourage their female, black, and hispanic children to study engineering, statistics, and data science. Then people like me will have more opportunity to hire them. Now things have changed. More people have gravitated to Data Science, AI, Machine Learning, etc. because there is big money in it. So I bet you can get even more diverse teams nowadays than I did.
