Scott Jachimski has more than 18 years of experience in the intelligence community, delivering strategic software applications and data science solutions to federal clients. His areas of expertise include cloud and geospatial algorithm development, data enrichment, change management and strategy, and analytic tradecraft acceleration.
Scott currently focuses on enhancing Booz Allen’s analytic workforce and its capabilities. He and his team are developing approaches to incorporate data science and artificial intelligence capabilities into future client environments and solutions. He works with clients across the Federal Government helping them develop data science training programs for their workforces and prepare their agencies for broader data literacy.
Scott is actively involved in the U.S. Geospatial Intelligence Foundation where he serves as co-chair for the Machine Learning and Artificial Intelligence Working Group. Scott serves on the Loyola University Data Science Industrial Board and has worked with Virginia Tech’s College of Science and Computer Science Resources Consortiums. He also volunteers for a youth travel baseball and softball organization, Virginia Cannons, where he serves as board member and head coach for the 14U baseball team.
Scott holds a B.S in computer engineering from Virginia Tech.