Geospatial Data Scientist - Remote

Overview

The Leidos Health and Civil Sector is seeking a Geospatial Data Scientist with expertise in machine and deep learning for geospatial applications and snow remote sensing. This position will be part of the growing Earth Intelligence team, which has demonstrated funding success with multiple agencies and the resources of a Fortune and S&P 500 company.

In Short

• Join a team focused on geospatial applications and remote sensing.
• Work on projects for federal agencies like NASA and NOAA.
• Full project lifecycle involvement from proposal to delivery.
• Remote work location of your choice within the US.
• Ph.D. or MSc. with relevant experience required.
• Proficiency in machine learning techniques and Python libraries.
• Knowledge of remote sensing instruments and methods.
• Experience with GIS tools and geospatial data processing.
• Technical writing skills are essential.
• Competitive salary range provided.

Requirements

• Fluency in English.
• US Citizen or Permanent Resident.
• Ph.D. in a relevant technical field or MSc. with 4 years of experience.
• Experience with satellite-based remote sensing methods.
• Proficiency in Python for geospatial data analysis.
• Familiarity with GIS tools such as GDAL and ArcGIS.
• Experience with version control systems like Git.
• Strong numerical optimization skills.
• Established record of technical writing.
• Preferred qualifications include deep experience with relevant tools and publications.

Benefits

• Competitive compensation packages.
• Health and wellness programs.
• Income protection and paid leave.
• Retirement benefits.
• Opportunities for professional growth.