Your experience as a Research Scientist in the Air Force, particularly your proficiency in statistical analysis, modeling, and data interpretation, aligns well with the responsibilities of a Data Scientist. You're skilled in employing mathematical techniques, including probability, statistics, simulation, and optimization theories, which are essential for analyzing complex datasets and developing predictive models. Your background in conducting experiments, accumulating and interpreting data, and developing new concepts and methods to solve scientific problems directly translates to the data science field.

Given your experience in research methodologies and design, along with your knowledge of computer systems for data analysis, you can transition to Machine Learning Engineering. Your background in developing new concepts, methods, and techniques to solve scientific and operational problems can be applied to designing and implementing machine learning models. You're familiar with MATLAB and simulation tools; learning Python and ML frameworks would bridge the gap.

Your experience in data analysis, technical reporting, and program management makes you a good fit for an Analytics Engineer role. The skills you've honed in analyzing theories and research findings to determine applications, along with your ability to manage scientific programs and projects, are directly transferable. You also have experience in resource optimization.

Your experience managing scientific programs, projects, and activities, combined with your skills in planning, organizing, and directing teams, makes you a candidate for a Technical Program Manager. Your background includes formulating, planning, fiscal programming, monitoring, evaluating, coordinating, and administering programs, all of which are essential for managing technical projects. You're already practiced at maintaining liaison with organizations and agencies, an important skill in program management.