Building a Career in Data Science: Lessons from the Journeys of Three Leaders

Demand for data scientists is exploding. At such a time, what can women do to build successful careers in this fast-growing field? A panel of industry experts, moderated by Mary Purk, Executive Director of AI and Analytics for Business and AIB for Business, discussed this issue at the recent Women in Data Science @ Penn conference. Read More

Six Tips for Women in Data Science from the Chief Data Officer of Poshmark

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When Barkha Saxena, WG’11, came to Wharton’s EMBA program in San Francisco, she was working in sales and strategy at FICO. Having started her career as a hands-on data scientist, she hoped to transition into an executive-level data science role, focusing on technology. Today, she is chief data officer of Poshmark and an advisory board member of AI and Analytics for Business (AIAB). She also was a featured speaker at the Women in Data Science @ Penn Conference, where the theme was “This is what a data scientist looks like.”Read More

5 Questions for Katherine Lin: Data Scientist in Training

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This story sits at the intersection of challenge and opportunity. First, the pandemic. While a time of crisis, it has also been a year of revealing numbers. Take, for instance, all the data generated from this very unique moment in our world’s history that can help us reflect on various outcomes and better prepare for comparable crises in the future.Read More

What Does it Mean to Be a Courageous Leader? Ask Microsoft’s Kate Johnson

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At the recent Penn/Wharton Women in Data Science conference in Philadelphia, Kate Johnson, president of Microsoft US, spoke with AI and Analytics for Business Executive Director Mary Purk about her career journey, managing and leading change, and Microsoft’s efforts to drive diversity and inclusion.Read More

Women in Data Science with EqualModel Team, University of Pennsylvania

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On February 12, 2021, Vice Dean of Analytics at Wharton Eric Bradlow welcomed attendees to the final day of the Women in Data Science (WiDS) at Penn Conference, which highlighted student-led projects. This video features: A Post-Processing Algorithm for Bias Reduction in Big Data Analytics with Brian Handen, Hyewon Lee, Margaret Ji, Tashweena Heeramun, and Trishla PokharnaRead More