About This Talk
The fact that tech is struggling to hire or retain employees from diverse backgrounds has been written about and discussed thoroughly, particularly in the last few years. The economic, societal, and moral benefits of diversity are also well documented. Why is it hard, then, for well-intentioned organizations to shift their demographics? There are a number of reasons, but one that doesn’t appear to have been thoroughly discussed already is the challenge of gathering and responding to data about diversity within a company’s hiring pool and existing employees. One hack day, I was involved in too many projects and had only a token amount of time to devote to the one I was most interested in; seeing if we could determine whether we had sufficient diversity for any given role to start interviewing candidates, or if we needed to spend more efforts sourcing diverse candidates for the pool. I accomplished an MVP in approximately an hour, once I had an api key and permissions. It doesn’t necessarily require a huge effort to make a big difference.
In this talk, I’ll walk through the MVP indicating, for each role, whether there was “sufficient diversity”. I’ll also address gotchas, limitations, and What Now.
Nicole attended Hackbright Academy in 2012, and has been in love with python ever since. She can currently be found at Clover Health, tackling with glee data pipelines and APIs and human systems. In her free time, Nicole is an avid dancer and teacher, sci-fi book fanatic, soul and jazz aficionado, and cheese lover. She has an MA in English Literature and Women’s Studies from the University of Liverpool.