GIS Data Analyst

Radiance Technologies

Kentucky

On-site

USD 90,000 - 150,000

Full time

2 days ago
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Job summary

Radiance Technologies in the Dayton, OH area seeks a data scientist to support NASIC geospatial intelligence production, analyzing GEOINT data within a GIS framework.

The role requires TS clearance with SCI eligibility, extensive ArcGIS experience, and the ability to design and deploy geospatial web apps while collaborating with engineers, analysts, and scientists; strong writing and briefing skills are essential.

Qualifications

  • Active Top Secret clearance with SCI eligibility required.
  • Substantial familiarity with ArcGIS software.
  • Experience designing, developing, and deploying geospatial web tools.
  • Strong analytical, inference, and creative problem solving.
  • Ability to work independently and in teams; strong written and briefing skills.

Responsibilities

  • Utilize advanced data science methods to analyze GEOINT data in a GIS framework.
  • Assist in developing approaches to address key intelligence questions.

Skills

Active Top Secret Clearance with SCI
ArcGIS software
Geospatial web applications
Analytical thinking
Independent and teamwork
Technical writing
Briefing skills

Education

Bachelor’s Degree in a relevant field

Tools

ArcGIS Online
ArcGIS Portal
ArcGIS Enterprise
ArcGIS Experience Builder
ArcGIS Dashboards
Survey123
Python
Data visualization tools
Machine learning/AI
GEOINT data
Remote sensing
Intelligence Community experience

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Radiance is seeking a highly qualified and motivated data scientist to support geospatial intelligence production and the continued advancement of data analytical processes and techniques at the National Air and Space Intelligence Center (NASIC). The successful candidate is someone who has extensive experience working in a geographic information system framework and can creatively approach a variety of requirements to meet intelligence needs, can balance work on multiple tasks, and will work collaboratively with other scientists, engineers, and analysts.

Job Duties
  • Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data in a GIS framework to support intelligence production
  • Assist in developing approaches to address key intelligence questions
Required Skills
  • Active Top Secret Clearance with SCI eligibility
  • 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
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills
  • undefined
Desired Qualifications
  • Proficiency in developing custom solutions using ArcGIS Online, ArcGIS Portal, and ArcGIS Enterprise, with a specific focus on ArcGIS Experience Builder, ArcGIS Dashboards, and Survey123
  • Ability to code/script, especially in Python
  • Experience with data science and visualization tools
  • Background in machine learning/artificial intelligence
  • Experience with GEOINT data, including non-literal data
  • Knowledge of remote sensing datasets
  • Experience in the Intelligence Community
  • Bachelor’s Degree (or higher) in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics, Geography, or other STEM field)

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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