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Senior Remote Sensing Data Scientist

11 hours, 37 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
AWS Python
Apply Now
Muon Space

Muon Space

Muon Space revolutionizes Earth understanding with advanced satellite systems, protecting people, climate, and ecosystems through exclusive technology.

Aerospace & Defense
11-50
Founded 2021
View All Jobs 5

Description

  • Develop imaging products for end users across the FireSat IOC and SBEM programs.
  • Research, design, and implement scalable algorithms for image mosaicking, orthorectification, and radiometric normalization of multispectral infrared imagery.
  • Serve as product owner for customer-facing imagery products in the SBEM and FireSat programs.
  • Author and maintain technical and customer-facing design documents for imagery products.
  • Engage with customer technical stakeholders through TIMs, customer questions, and program meetings.
  • Write production-ready code that integrates into customer-facing data product pipelines and operational services.
  • Ensure the scientific quality, quantitative validation, and integrity of Orthomosaic Tile products.
  • Work cross-functionally with software engineers, calibration scientists, and instrument engineers to build and maintain operational data product services.
  • Learn new topics as needed, including sensor geometry, georeferencing techniques, wildfire applications, environmental monitoring, and cloud-native geospatial data engineering.

Requirements

  • PhD with 3+ years of industry experience, MS with 6+ years of industry experience, or BS with 8+ years of industry experience.
  • 5+ years of experience building geospatial data products from remote sensing data.
  • Hands-on experience with image mosaicking, orthorectification, or related geospatial image processing techniques.
  • Experience working with real-world data from new or novel imaging instruments.
  • Familiarity with common geospatial data formats and tools such as Cloud Optimized GeoTIFF, XArray, and GDAL.
  • Exceptional skills in Python-based development and analysis.
  • Ability to author and clearly communicate technical design documents and product specifications.
  • Ability to work with a distributed, interdisciplinary team of scientists, engineers, and data support staff.
  • Ability to thrive in a fast-paced startup environment.
  • Experience processing multispectral or infrared satellite imagery, preferred.
  • Domain expertise in meteorology, weather, environmental remote sensing, or related Earth observation applications, preferred.
  • Domain expertise in wildfire monitoring, preferred.
  • Experience supporting satellite mission product development, commissioning, or early operations, preferred.
  • Track record of delivering operational geospatial data products to external customers, preferred.
  • Experience as a product owner or technical lead for a data product, preferred.
  • Familiarity with cloud-native geospatial systems and pipelines, with AWS preferred.
  • Experience working with large datasets, preferred.
  • Must be a U.S. person or otherwise eligible to access export-controlled information under ITAR/EAR requirements.

Benefits

  • Salary range of $138,000 to $198,000.
  • Competitive equity grant.
  • Comprehensive benefits package.
  • Medical, dental, and vision insurance.
  • 401(k) retirement plan.
  • Short- and long-term disability insurance.
  • Life insurance.
  • Three weeks of paid vacation for new employees.
  • 12 paid holidays.
  • Unlimited sick time.
  • Paid parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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