Data Analyst
Intuitive Machines LLC Phoenix, Arizona, United States
Defense and Space Manufacturing · 1,001-5,000 employees
About the role
The role involves producing high-resolution digital terrain models of the lunar surface and assisting the science team with data processing tasks. You will also maintain analysis tools and support education and public outreach efforts.
What they look for
Requirements
Candidates must have a bachelor's degree in a related field and 2-5 years of relevant professional experience. Proficiency in programming languages, remote sensing techniques, and image processing software is required.
Full description
About Intuitive Machines:
Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With multiple NASA lunar missions in development and additional private missions on our manifest, we pride ourselves in supporting NASA, our customers, and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.
About the Position:
This position supports Intuitive Machine’s Lunar Data Analytics group, including the Lunar Reconnaissance Orbiter Camera (LROC) and Shadow Cam Science Operations Center (SOC).
Responsibilities:
- Produce high-resolution digital terrain models of the lunar surface using SocetSet and SocetGXP by BAE Systems.
- Assist LROC and ShadowCam science team members with data processing tasks to advance data production, research, and exploration.
- Maintain and develop new tools and procedures for data processing and analysis.
- Compile and distill information from remotely sensed planetary images to be included in research papers, posters and talks presented at meetings.
- Support our education and public outreach efforts through events on campus, off-site, and virtually for ages preschool through adults.
- Perform other duties as assigned by the Principal Investigator, Science Operations Center Manager, or RDR Manager.
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Education & Experience
- Bachelor’s degree in a related field (e.g., planetary science, GIS and remote sensing, or computer science), with 2–5 years of relevant professional experience.
- Basic knowledge of remote sensing techniques and data.
- Programming or scripting experience (i.e., Python, bash, R, Matlab)
- Ability to balance multiple tasks simultaneously.
- Effective verbal and written communication skills.
- Strong organization and documentation skills.
- Ability to remain detail-oriented while working on large data sets.
- Demonstrated ability to identify problems and develop mitigation procedures.
- Experience performing or aiding with research (generating data, performing analysis, and interpreting results).
- Knowledge of statistics and data characterization/classification methods.
Technical Knowledge:
- Knowledge of image processing concepts and techniques.
- Experience using AI/ML for image classification, feature extraction, and/or GeoAI.
- Experience with planetary data sets, especially LROC or ShadowCam data sets.
- Experience with photogrammetry.
- Experience with databases, especially PostgreSQL/PostGIS queries.
- Experience with the UNIX command line.
- Experience with the Imaging Software for Imagers and Spectrometers from the USGS and/or Ames Stereo Pipeline.
Working Environment
- In-person position in an office setting.
- Ability to effectively use computers, including 3D stereo monitors, to input, review, and retrieve information for extended periods of time.
- Open and shared office space.
US EEO Statement:
Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
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