Senior Remote Sensing Data Scientist

• Develop imaging products for end-users from Muon's infrared imaging missions, spanning both the FireSat Initial Operating Capability (IOC) and the Space-Based Environmental Monitoring (SBEM) program.
• Research, design, and implement scalable algorithms for image mosaicking, orthorectification, and radiometric normalization of multispectral infrared imagery.
• Serve as product owner for critical customer-facing imagery products in the SBEM and FireSat programs, authoring technical and customer-facing design documentation and engaging with customer technical stakeholders.
• Write production-ready code that integrates into customer-facing data product pipelines and operational services, ensuring scientific quality and quantitative validation.

This role directly contributes to global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring, delivering Earth intelligence for a safer and more resilient world.

• PhD with 3+ years of industry experience; or MS with 6+ years industry experience; or BS +8 years industry experience.
• 5+ years of experience building geospatial data products from remote sensing data.
• Hands-on experience with image mosaicking, orthorectification, or related geospatial image processing techniques.
• Exceptional skills in Python-based development and analysis; familiarity with geospatial data formats and tools (e.g., Cloud Optimized GeoTIFF, XArray, GDAL).

Salary range: $138,000 - $198,000, plus competitive equity grant and comprehensive benefits package including medical, dental, vision insurance, 401k retirement plan, short & long term disability, life insurance, three weeks paid vacation, 12 paid holidays, unlimited sick time, and paid parental leave.

Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data for climate monitoring, national security, and environmental intelligence.