Remote Sensing Data Scientist

Salary: $171,000 - 191,000 per year Requirements: PhD, or a masters degree with at least 3 years of industry experience, or a bachelors degree with at least 5 years of industry experience. Hands-on experience building geospatial data products, particularly from new or novel imaging instruments, and working with real-world sensor data. Demonstrated ability to apply scientific first principles to complex problems. Strong Python development and analysis skills, including use of standard geospatial formats and libraries such as COGs, Xarray, and GDAL. Excellent written and verbal communication skills and the ability to collaborate across distributed, interdisciplinary teams. Ability to prioritize, adapt, and thrive in a fast-paced environment. Preferred: experience processing multispectral or infrared satellite imagery; expertise in wildfire monitoring, meteorology, weather, environmental remote sensing, or related Earth observation fields; experience with satellite mission product development, commissioning, early operations, or operational customer-facing pipelines; experience applying ML/DL and advanced image processing to remote sensing data; familiarity with cloud-native geospatial workflows and large-scale processing, preferably on AWS; or experience writing technical design documents, product specifications, or algorithm theoretical basis documents. This role requires access to export-controlled information. Applicants must meet applicable U.S. export-control access requirements, such as qualifying as a U.S. person, being eligible to access the information without an export authorization, or being eligible and reasonably likely to obtain the required authorization. Responsibilities: Develop derived data products across our infrared imaging missions. Implement and improve scalable algorithms that process, transform, and analyze multispectral infrared imagery into geospatial products. Help shape derived product design and roadmaps with guidance from senior scientists and product owners on our IR Data team. Prepare technical and customer-facing design documents to align internal capabilities with external stakeholder needs. Support engagement with customer technical stakeholders, including technical interchange meetings, customer questions, and program meetings. Write production-ready code for customer-facing data pipelines and operational services. Help ensure the scientific quality, quantitative validation, and integrity of derived products across our infrared missions. Collaborate with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services. Develop expertise in topics needed for the work, such as sensor geometry and characterization, georeferencing, wildfire and environmental monitoring, and cloud-native geospatial data engineering. Technologies: AWS Cloud Support Python Security AI More: We are Muon Space, an end-to-end space systems provider founded in 2021. We design, build, and operate low Earth orbit satellite constellations that deliver mission-critical data, using an integrated technology stack to support faster deployment and remote-sensing performance. Our work spans areas including climate monitoring and national security, with the goal of providing Earth intelligence for a safer, more resilient world. As a Geospatial Data Scientist on our IR Data Products team, you will work with real-world data from new imaging systems and collaborate with senior scientists and product owners across science and product development. This is a high-impact, multi-mission role focused on Earth observation and customer-facing products. The position is hybrid, with three days per week on-site at our Denver, Colorado office. The salary range is $171,000–$191,000, plus equity and benefits. Our full-time benefits include medical, dental, and vision insurance, a 401(k), disability and life insurance, three weeks of paid vacation for new employees, 12 paid holidays, unlimited sick time, and paid parental leave. We value diversity and equal employment opportunity, encourage applications even when candidates do not meet every qualification, and provide reasonable accommodations during the application and interview process. We are registered and able to hire in the states listed in the posting. last updated 40 week of 2026