Remote Remote Sensing Data Scientist

Description:

• Muon Space is seeking a Remote Sensing Data Scientist to join the Muon Science Team.
• The role involves designing and generating value-added products from Earth observations from Muon’s constellation of low Earth orbit satellites and other geospatial datasets.
• The candidate will develop algorithms and final stages of processing for data from spacecraft instruments.
• This position requires interaction with both instrument engineering and ground data systems teams to ensure a deep understanding of measurements.
• The goal is to generate low latency retrievals of the highest possible quality to meet Muon’s objectives.
• The role involves working with data from multiple instrument types, requiring flexibility to work on various topics.

Requirements:

• Candidates must have experience developing algorithms using data from RF instruments.
• Experience with signal processing techniques related to RF instruments is required.
• Exceptional skills in python-based development and analysis are necessary.
• The ability to work with a distributed, interdisciplinary team of scientists, engineers, and data support is essential.
• Preferred qualifications include experience developing retrieval algorithms from satellite Earth observations and experience with precision timing problems.
• Familiarity with geolocation of RF transmitters and understanding the principles of scientific instruments is preferred.
• Familiarity with cloud-native systems such as AWS and Flyte is also a plus.

Benefits:

• The salary range for this role is between $95K and $195K, depending on skills, qualifications, and experience.
• In addition to salary, equity compensation is provided.
• Benefits include medical, dental, and vision insurance, a 401k retirement plan, short and long-term disability, and life insurance.
• New employees receive three weeks of paid vacation, along with 12 paid holidays, unlimited sick time, and paid parental leave.
• Muon Space is committed to creating a diverse and dynamic workforce and encourages applicants from all backgrounds to apply.