Data Analyst

About the role

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.

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.

Requirements

• 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.

Skills

• 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.