Kim is a data scientist at the Federal Reserve Bank of Minneapolis. She provides statistical analyses, data analyses and visualizations, among other things, to help the Bank better understand issues affecting low- and moderate-income communities. In addition to her work at the Minneapolis Fed and co-chairing MinneAnalytics conferences, Kim also co-organizes the Women in Machine Learning and Data Science Twin Cities meetup group.