A paid, full-time ten-week summer fellowship at Los Alamos National Laboratory, running early June to mid-August, now in its sixth year. Fellows partner with Northern New Mexico nonprofits and apply data science and machine learning to community problems, organising the annual Data Sprint, interfacing with community partners, wrangling data, running sprint week activities and producing final reports. Open to upper-level undergraduates and graduate students from data science fields such as computer science, engineering, statistics and mathematics, as well as project management fields including public policy, communications, business and nonprofit management. Undergraduates need a 3.0 GPA and graduate students 3.2; US citizenship is not required. Work is in person in Los Alamos.