November 17, 2021
Sacramento, California
Job Type


Our client is currently seeking a full-time, Remote Sensing Scientist to join their rapidly growing team in the Sacramento, CA office. This position offers an opportunity to work with colleagues who provide cutting-edge solutions and leverage geospatial data from a variety of remote sensing technologies, GIS, field sampling, and big data. The company seeks a creative, problem-solver who will contribute to the team by collecting, processing, and analyzing remotely sensed data, and translating geospatial information into actionable knowledge. The qualified candidate will have the opportunity to work across a variety of industries and applications including utility vegetation management, water quality, agriculture, crop/nutrient management, air quality, soil remediation, and dust control. Successful candidates will be part of multidisciplinary teams comprised of various experience levels.

The ideal candidate will have:

  • A degree in geospatial sciences, geography, computer sciences, environmental sciences, statistics, engineering, or another related field
  • A minimum of 5 years of experience with active (LiDAR, radar) and passive (optical) remote sensing
  • A technical understanding of applied airborne lidar technology and data quality considerations
  • Experience with data processing and remote sensing software packages like Terrasolid, LAStools, Quick Terrain Modeler, LP360, MicroStation, CloudCompare, GeoCue, ENVI, ERDAS, ArcGIS, GRASS, QGIS, SAGA
  • Knowledge in statistical analysis and workflow automation using Python, R, Matlab, or similar
  • Experience in the development and implementation of algorithms (Scripts/Models/Macros) in other software platforms
  • Expertise in LiDAR classification, data aggregation, statistical analysis, quality assurance, assessment, and reporting
  • An ability to travel domestically
  • An ability to operate airborne mapping equipment from a manned aircraft, occasionally for consecutive days in remote and strenuous locations
  • An understanding of horizontal and vertical coordinate reference systems, datum transformations, etc., and their significance with respect to a successful geospatial project.
  • An ability to work and perform in a thoughtful manner under pressure and experience with remote sensing applications in utility vegetation management programs is a plus.

The ideal candidate will also demonstrate a strong commitment to:

  • Leadership, organization, and effective communication
  • Collaboration and efficient conduct of assignments to support multidisciplinary project teams
  • Maintaining and upgrading technical knowledge as well as learning and mastering, technical fieldwork as related to airborne lidar data acquisitions (e.g., airborne sensor operator and field survey technician roles).
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