Remote Sensing Data Scientist

Muon Space•Denver, CO

2d•Hybrid

About The Position

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, and space-based environmental monitoring. Muon's IR Data Products team builds the analytics system that processes the data from our spacecraft's custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Geospatial Data Scientist to join this team with a focus on building derived data products from Muon's FireSat and Space-Based Environmental Monitoring (SBEM) missions. This role will be a hands-on contributor to the development of derived data products from Muon's IR data missions. You will dive deep into real-world data from brand new imaging systems, prototype and productionize algorithms that turn Level-1 imagery into higher-level derived products, and write production-ready code that feeds directly into customer-facing services. Working alongside senior scientists and product owners on the IR Data Products team, you will build expertise across both missions while contributing to product design, validation, and documentation. This is a high-impact, multi-mission role that sits at the intersection of rigorous Earth observation science and fast-moving product development, and is well-suited for someone who thrives on hands-on technical work and cross-functional collaboration.

Requirements

PhD; or MS with 3+ years industry experience; or BS with 5+ years industry experience
Hands-on experience building geospatial data products, particularly from new or novel imaging instruments.
Demonstrated experience applying first principles to solve complex problems.
Experience working with real-world data from new or novel imaging instruments
Strong skills in Python-based development and analysis
Strong Python development skills utilizing standard geospatial formats and libraries (e.g., COGs, Xarray, GDAL).
Excellent written and verbal communication skills, with a track record of collaborating across distributed, interdisciplinary teams (scientists, engineers, product).
Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
Ability to prioritize, pivot, and thrive in a fast-paced environment.

Nice To Haves

Experience processing multispectral or infrared satellite imagery
Domain expertise in wildfire monitoring, meteorology, weather, environmental remote sensing, or related Earth observation applications
Experience supporting satellite mission product development, commissioning, early operations, or delivering operational pipelines to external customers.
Demonstrated experience applying ML/DL and advanced image processing to remote sensing data
Familiarity with cloud-native geospatial workflows and large-scale data processing (AWS preferred).
Experience authoring technical design documents, product specifications, or algorithm theoretical basis documents (ATBDs).

Responsibilities

Build derived data products from Muon's infrared imaging missions, spanning Muon’s IR programs
Implement and improve scalable algorithms for processing, transforming, and analyzing multispectral infrared imagery into derived geospatial products.
Contribute to derived product design and roadmap under the direction of senior scientists and product owners on the IR Data team.
Contribute to technical and customer-facing design documents for derived products, supporting alignment between internal capabilities and external stakeholder requirements.
Support engagement with customer technical stakeholders including Technical Interchange Meetings (TIMs), customer questions, and program meetings
Write production-ready code that integrates into customer-facing data product pipelines and operational services.
Contribute to the scientific quality, quantitative validation, and integrity of derived products across Muon’s IR missions.
Work cross-functionally with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services.
Learn new topics as needed (e.g., sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, cloud-native geospatial data engineering).