Remote Sensing Data Scientist
- Denver, United States
- Remote
- Mid Level
- 3+ years
- Bachelor's degree
- Posted
Skills
Required
- Python development
- standard geospatial
- COGs
- Xarray
- GDAL
- Geospatial Processing
- building geospatial data products
- Software Development
- Python-based development and analysis
Preferred
- ML/AI
- ML/DL
- wildfire monitoring
- Cloud Architecture
- cloud-native
- geospatial workflows
Join Muon Space, a company dedicated to building advanced infrared imaging missions for global wildfire detection, weather characterization, and environmental monitoring. As a Geospatial Data Scientist, you will play a crucial role in developing derived data products from our FireSat and Space-Based Environmental Monitoring missions. You will work closely with senior scientists and product owners, contributing to product design, validation, and documentation. This is a high-impact, hands-on role that combines rigorous Earth observation science with fast-paced product development.
We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know
Infrared sensing: Experience processing multispectral or infrared satellite imagery
About Muon Space
- Sensor Data: Experience working with real-world data from new or novel imaging instruments
- Startup Adaptability: Ability to prioritize, pivot, and thrive in a fast-paced environment
Responsibilities
- Contribuer au développement de produits de données dérivés à partir des missions d'imagerie infrarouge de Muon, en mettant en œuvre et en améliorant des algorithmes évolutifs pour le traitement et l'analyse des images.
- Collaborer avec des scientifiques seniors et des responsables de produits pour concevoir, valider et documenter les produits dérivés, en soutenant l'alignement entre les capacités internes et les exigences des parties prenantes externes.
- Écrire du code prêt pour la production qui s'intègre dans les pipelines de produits de données orientés client et les services opérationnels.
Requirements
- Distributed Team: Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
- Degree & Experience: PhD; or MS with 3+ years industry experience; or BS with 5+ years industry experience
- Geospatial Technical Stack: Strong Python development skills utilizing standard geospatial formats and libraries (e.g., COGs, Xarray, GDAL)
- Communication & Collaboration: Excellent written and verbal communication skills, with a track record of collaborating across distributed, interdisciplinary teams (scientists, engineers, product)
- Geospatial Processing: Hands-on experience building geospatial data products, particularly from new or novel imaging instruments
- Software Development: Strong skills in Python-based development and analysis
- Scientific Rigor: Demonstrated experience applying first principles to solve complex problems
- This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency
- Mission & Operational Lifecycle: Experience supporting satellite mission product development, commissioning, early operations, or delivering operational pipelines to external customers
- Technical Documentation: Experience authoring technical design documents, product specifications, or algorithm theoretical basis documents (ATBDs)
Preferred
- ML/AI: Demonstrated experience applying ML/DL and advanced image processing to remote sensing data
- Domain Expertise: Domain expertise in wildfire monitoring, meteorology, weather, environmental remote sensing, or related Earth observation applications
- Cloud Architecture: Familiarity with cloud-native geospatial workflows and large-scale data processing (AWS preferred)
Pay
USD 171,000 - 191,000
