[Remote] Senior Applied Scientist, Geospatial

Note: The job is a remote job and is open to candidates in USA. Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. They are seeking a Senior Applied Scientist, Geospatial to bridge the gap between scientific principles and market-ready data products, focusing on electro-optical and infrared geospatial imagery data applications.

Responsibilities

• Conduct first-principles scientific and technical analysis to formulate hypotheses for remote sensing electro-optical and infrared imagery data applications and novel use cases
• Perform feasibility studies, literature reviews, and trade studies to support development of early-stage mission and data concepts
• Analyze and manipulate pixel-level geospatial and spectral datasets to extract unique insights and validate new mission concepts
• Develop and generate prototype electro-optical and infrared imagery products and sample intelligence products that demonstrate unique capabilities of Muon’s systems
• Support customer discovery and engagement efforts, translating operational pain points and needs into technical requirements and derived data solutions
• Collaborate cross-functionally with product management, business development, and engineering teams to identify and develop new markets, products, and technologies
• Support creation of technical proposals and white papers that articulate the differentiation and mission utility of Muon’s offerings

Skills

• B.S., M.S., or Ph.D. in Physics, Remote Sensing, Earth Science, Computer Science, Engineering, or a related technical/scientific field
• 5+ years of experience in geospatial research, analysis, and imagery data product development
• Strong foundation in scientific first principles, including geospatial imagery analysis, spectral science, optical systems, and physics-based remote sensing
• Background in infrared, multispectral, hyperspectral, or similar remote sensing phenomenologies
• Demonstrated proficiency in programming (e.g., Python, MATLAB, Julia) for advanced image processing and geospatial analysis
• Proven experience working directly with geospatial tools and manipulating raw, pixel-level data
• Strategic and creative mindset with the ability to reason through novel, ambiguous problems without established 'cookbooks'
• Excellent written and verbal communication skills, with the ability to distill complex scientific concepts for diverse audiences
• Strong collaborative skills for working across disciplines like data engineering, satellite operations, and mission architecture
• Active security clearance or ability to obtain one for national security mission support
• Experience working with IC/DoW missions and end-users on the application of geospatial intelligence (GEOINT) products
• Familiarity with early-stage business development and discovery processes
• Experience with experimental AI/ML frameworks applied to remote sensing datasets
• Familiarity with space systems development, especially satellite remote sensing

Benefits

• Equity compensation
• Medical, dental, and vision insurance
• A 401k retirement plan
• Short & long term disability and life insurance
• Three weeks paid vacation for new employees
• 12 paid holidays
• Unlimited sick time
• Paid parental leave

Company Overview