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Muon Space

End-to-end satellite constellations design and operation

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeDenver, CO, USA

About the Job

Requirements

  • A PhD, or an MS with at least 3 years of industry experience, or a BS with at least 5 years of 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 Python-based development and analysis skills.
  • Strong Python development skills using standard geospatial formats and libraries such as Cloud Optimized GeoTIFFs (COGs), Xarray, and GDAL.
  • Ability to collaborate across distributed, interdisciplinary teams including scientists, engineers, and product staff.
  • Ability to work with a distributed, interdisciplinary team of scientists, engineers, and data support staff.
  • Ability to prioritize, pivot, and work effectively in a fast-paced environment.

Responsibilities

  • Build derived data products from Muon's infrared imaging missions across its infrared 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 infrared 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, such as sensor geometry and characterization, georeferencing techniques, wildfire and environmental monitoring applications, and cloud-native geospatial data engineering.

Desired Qualifications

  • 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 machine learning, deep learning, and advanced image processing to remote sensing data.
  • Familiarity with cloud-native geospatial workflows and large-scale data processing; AWS is preferred.
  • Experience authoring technical design documents, product specifications, or algorithm theoretical basis documents (ATBDs).

About the Company

Muon Space

End-to-end satellite constellations design and operation

What Muon Space does: It plans, builds, and runs satellite constellations to deliver Earth intelligence that helps protect people, climate, and ecosystems. How its product works: It offers end-to-end space systems as a service—creating mission strategies, deploying constellations, and operating them through its proprietary AI automation system. Revenue model and delivery: Customers pay transparently on a pay-as-you-go basis for the development, deployment, operation of the satellites, and the data generated. How it differs from competitors: It combines full lifecycle space systems with an AI-driven operations stack, offers flexible pay-as-you-go pricing, and relies on a team with deep experience from NASA, Google, and SpaceX to focus on solving client missions rather than selling hardware. The company’s goal: provide actionable Earth intelligence to improve climate protection, security, and resource management while reducing costs and speeding up access to space.

Company size
201-500
Company stage
Series C
Total funding
$441.2M
Headquarters
Mountain View, CA
Founded
2021

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