Remote Marketing Intern (University Student)
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Support social media, branding and event campaigns at Berlin boutique agency PRIME AGENCY M&M while gaining practical experience alongside university studies.
Open
Muon Space designs, builds, and operates low Earth orbit satellite constellations for Earth intelligence missions. Its Muon Halo technology stack supports the rapid deployment and operation of integrated satellite systems, combining mission architecture with hardware and software integration. The company develops geospatial intelligence and weather data solutions for government and commercial customers, applying aerospace engineering to challenges such as climate monitoring and resource management.
Remote Sensing Data Scientist at Muon Space (Hybrid)
Muon Space is hiring a geospatial data scientist to create derived products from infrared satellite missions. The role develops Python-based geospatial algorithms and production pipelines supporting wildfire and environmental monitoring.
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Washington$171,000 – $191,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredData ScientistDescription
- Develop derived data products from Muon Space’s infrared imaging missions across its infrared programs.
- Build and refine scalable algorithms that process, transform, and analyze multispectral infrared imagery into derived geospatial products.
- Help shape derived-product designs and roadmaps in collaboration with senior scientists and product owners.
- Contribute to technical documentation and customer-facing design materials.
- Engage with customer technical stakeholders through Technical Interchange Meetings, customer questions, and program meetings.
- Develop production-ready software for customer-facing data-product pipelines and operational services.
- Support scientific quality, quantitative validation, and the integrity of derived products.
- Work with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data-product services.
- Develop expertise in sensor geometry, georeferencing, wildfire and environmental monitoring, and cloud-native geospatial data engineering.
Requirements
- PhD, or an MS with at least 3 years of industry experience, or a BS with at least 5 years of industry experience.
- Practical experience developing geospatial data products, especially from new or novel imaging instruments.
- Proven ability to apply first-principles reasoning to complex problems.
- Experience working with real-world data from new or novel imaging instruments.
- Strong Python development and analytical skills.
- Proficiency with Python-based geospatial formats and libraries such as COGs, Xarray, and GDAL.
- Excellent written and verbal communication skills.
- A record of effective collaboration across distributed, interdisciplinary teams.
- Ability to work effectively within a distributed, interdisciplinary team.
- Ability to prioritize, adapt, and perform well in a fast-paced environment.
- Must meet applicable ITAR/EAR requirements as a U.S. person, as someone eligible to access export-controlled information without authorization, or as someone eligible and reasonably likely to obtain the required export authorization.
Benefits
- Competitive equity grant
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) retirement plan
- Short-term disability insurance
- Long-term disability insurance
- Life insurance
- Three weeks of paid vacation for new employees
- 12 paid holidays
- Unlimited sick time
- Paid parental leave
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