GEOINT GIS Data Scientist - ArcGIS & ML Focus
radiancetech
Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Job summary
Radiance Technologies is seeking a highly qualified data scientist to support geospatial intelligence production at NASIC. You will apply advanced data science methods within a GIS framework to analyze GEOINT data and other sources, helping answer critical intelligence questions.
The role requires TS/SCI eligibility and a strong background in ArcGIS. Collaboration with scientists, engineers, and analysts is essential, and you will help design, develop, and deploy geospatial web applications and
Qualifications
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics, Geography).
- Substantial familiarity with ArcGIS software.
- Experience designing, developing, and deploying dynamic geospatial web applications and tools.
- Strong analytical, inference, critical thinking, and creative problem-solving skills.
- Strong technical writing and briefing skills.
- Ability to work both independently and in a team environment.
Responsibilities
- Utilize advanced data science methods to analyze and exploit GEOINT data in a GIS framework to support intelligence production.
- Assist in developing approaches to address key intelligence questions.
Skills
Education
Tools
Job description
Radiance Technologies is seeking a highly qualified data scientist to support geospatial intelligence production at NASIC. You will apply advanced data science methods within a GIS framework to analyze GEOINT data and other sources, helping answer critical intelligence questions.
The role requires TS/SCI eligibility and a strong background in ArcGIS. Collaboration with scientists, engineers, and analysts is essential, and you will help design, develop, and deploy geospatial web applications and
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
