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Greg Scott has extensive work experience in various roles and companies. Greg started their career as a Software Consultant at CIBER in 1999 and later worked at Team Excel in the same role. In 2001, they joined Productive Data Systems as a Software Consultant and then moved to CIBER again in 2002, this time as an Engineering Consultant. Greg also worked as a Software Consultant at Productive Data Systems from 2002 to 2003.

In 2003, Greg joined CIBER as an Engineering Consultant and later transitioned to the role of Engineering Consultant at Lockheed Martin. Greg worked as a Software Consultant at CIBER from 2003 to 2006, specializing in interactive analysis tools assigned to Lockheed Martin. During this time, they also had the responsibility of being the Product Owner of the Analysis Tools segment, leading an Agile team.

In 2006, Greg took on the role of an Instructor at Webster University for a short period. From 2011 to 2014, they worked at Lockheed Martin as a Systems Engineer, where they were involved in various technical and managerial responsibilities, including being an Integrated Product Team Lead and a Thread Lead. Greg then joined Radix Metasystems in 2014 as a Senior Systems Engineer, where they worked until 2018.

Since 2018, Greg has been working at Radix Metasystems, Inc. as a Data Scientist/Machine Learning Engineer.

Greg Scott attended Penn-Trafford High School for their secondary education, although specific start and end dates were not provided. After graduating from high school, they enrolled at Yale University from 1988 to 1992. Greg pursued a Bachelor of Science degree in Electrical Engineering during their time at Yale. Following their undergraduate studies, Greg went on to the University of Arizona from 1992 to 1994 to pursue a Master of Science degree in Electrical Engineering. In 2003, they attended Webster Vienna Private University, where they completed a Masters program in Space Systems Operations Management from 2003 to 2006. In more recent years, Greg pursued additional education through online platforms such as Coursera.org. In 2018, they undertook a Deep Learning Specialization course, focused on Machine Learning. In 2021, Greg completed a Natural Language Processing Specialization course also offered by Coursera.org.