Your expertise in meteorological principles and analysis, combined with your experience in analyzing and evaluating meteorological data and preparing forecast products, translates well to the skills needed to become a Data Scientist. You have experience with system modeling, which translates to the ability to create models of complex systems, predicting outcomes and optimizing performance. Learning Python and data analysis tools would allow you to apply your existing skills to new domains.

Your experience directing the taking, recording, reporting, and plotting of meteorological and space weather observations, analysis of data, preparation of forecasts and other prognostic products and use of meteorological equipment lays a foundation for data engineering. Supplementing your skills with training on modern data pipelines and cloud data warehousing (e.g., AWS, Azure, GCP) would set you up well.

Your experience leveraging environmental sensing strategies and capabilities to characterize the battlespace environment aligns with the responsibilities of a Cloud Engineer. Cloud engineers are responsible for managing and maintaining cloud infrastructure, which often involves integrating diverse data sources, much like integrating weather data with operational planning. You can leverage your expertise in weather equipment operation and maintenance in a cloud environment.