Readers who are considering pursuing a career related to Big Data and the generally curious, may want to check out the Women in Data Science Podcast. Launched in 2018, this well-produced and approachable podcast is part of Stanford University's Women in Data Science initiative. Episodes feature the host Margot Gerritsen, a Stanford professor of energy resources engineering and the former director of the Institute for Computational Mathematics & Engineering, interviewing "leading women in data science [who] share their work, advice, and lessons learned along the way." While these women all work in data science, their work represents a wide variety of disciplines and perspectives. For example, Marzyeh Ghassemi from the University of Toronto uses machine learning to improve healthcare and reduce algorithmic biases in that field, while Stanford PhD student Sherrie Wang uses data science to research ways to address global food security issues. As of this write-up, there are 16 episodes, each about 30 minutes long. At the link above readers can click the episode's title to view its notes and listen online, and those interested can also subscribe via Stitcher, Google Podcasts, or other podcast platforms.