Remote Sensing Data Scientist

Muon Space

. Build derived data products from Muon's infrared imaging missions across Muon's IR programs .

Posted 10/2/2026full-timeUnited StatesMid-LevelSenior💰 $171,000 - $191,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and analyzing geospatial data products from infrared imaging, with strong proficiency in Python development and collaboration across interdisciplinary teams. Capable of contributing to product design and ensuring scientific quality and integrity of derived products.

Highest-signal resume keywords

Geospatial Data Product DevelopmentPython Development SkillsExperience with Geospatial Libraries (e.g., COGs, Xarray, GDAL)Collaboration Across Distributed TeamsITAR/EAR Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Geospatial Data ProductsMultispectral Infrared Imagery AnalysisAlgorithm ImplementationProduction-Ready Code WritingQuantitative ValidationSensor Geometry KnowledgeGeoreferencingCloud-Native Geospatial Data Engineering

Soft Skills

Excellent Communication SkillsProblem-SolvingAbility to Prioritize and PivotCollaboration

Certifications & Qualifications

PhD or MS with 3+ Years Industry Experience or BS with 5+ Years Industry Experience

Industry Keywords

Infrared ImagingEnvironmental MonitoringTechnical Interchange MeetingsExport-Controlled Information

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Build derived data products from Muon's infrared imaging missions across 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 senior scientists and product owners
Contribute to technical and customer-facing design documents
Support engagement with customer technical stakeholders, including Technical Interchange Meetings, customer questions, and program meetings
Write production-ready code integrated into customer-facing data product pipelines and operational services
Contribute to scientific quality, quantitative validation, and integrity of derived products
Collaborate with software engineers, calibration scientists, and instrument engineers to design, build, and maintain operational data product services
Learn topics including sensor geometry, georeferencing, wildfire and environmental monitoring, and cloud-native geospatial data engineering

Requirements

What you’ll need

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
Track record of collaborating across distributed, interdisciplinary teams
Ability to work with a distributed, interdisciplinary team
Ability to prioritize, pivot, and thrive in a fast-paced environment
Must satisfy applicable ITAR/EAR requirements: be a U.S. person, eligible to access export-controlled information without authorization, or eligible and reasonably likely to obtain required export authorization

Benefits

Comp & perks

Competitive equity grant
Medical insurance
Dental insurance
Vision insurance
401k retirement plan
Short-term disability insurance
Long-term disability insurance
Life insurance
Three weeks paid vacation for new employees
12 paid holidays
Unlimited sick time
Paid parental leave