Remote Sensing Data Scientist

About the role

Muon Space is building an expert team that is designing and generating value-added products from Earth observations from Muon’s constellation of low Earth orbit satellites and other geospatial datasets. We are seeking a Data Scientist who will play a foundational role in developing the algorithms for higher level data products from the data coming from our spacecraft’s multispectral imaging instruments. This role will interact with both instrument engineering and science teams to ensure a deep understanding of the measurements being made as well as the needs of the data users. This role will ensure Muon’s data products are of the highest scientific quality, are built to meet end-user needs, and achieve  Muon’s goals in monitoring and addressing climate change.

Location: Mountain View, CA or Remote

Responsibilities

• Build state-of-the-art Earth observation data products from remote sensing data
• Support the algorithmic and software development of Earth Observation data products (including but not limited to active fire data products).
• Work with scientists and data product team to continually refine data products
• Willingness to learn new topics as needed (measurements techniques, wildfire detection, cloud identification, etc.)
• Develop algorithms for derived analytics from Muon’s remote sensing earth observations.
• Ensure the product quality, quantitative validation, and scientific integrity of Muon’s data products and services are of the highest quality.
• Cross-functional work with software engineers and scientists to design, build, and maintain operational services from Muon’s core remote sensing missions.
• Willingness to learn new topics as needed (measurements techniques, wildfire detection, cloud identification, etc.)

Qualifications

• 5+ years of experience building geospatial data products from remote sensing data 
• Familiarity with common geospatial data formats (such as Cloud optimized GeoTIFF)
• Exceptional skills in python-based development and analysis
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)

Preferred Qualifications

• Domain expertise in wildfire analytics including fire detection, mapping, and characterization
• Experience working with infrared data
• Delivered operational analytics to customers
• Familiarity with cloud-native systems (AWS, preferably)
• Experience working with large Tb-sized datasets

Salary

^{The salary range for this role is $95K- $195K and will depend on a candidate's skills, qualifications, and experience as defined during the interview process.}