GIS Data Scientist

radiancetech

United States

On-site

USD 100,000 - 140,000

Full time

5 days ago
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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

Top Secret Clearance
Analytical thinking
Technical writing
Briefing skills

Education

Bachelor's Degree in a relevant field
Master's or Doctoral degree

Tools

ArcGIS
ArcGIS Online
ArcGIS Portal
ArcGIS Enterprise
ArcGIS Experience Builder
ArcGIS Dashboards
Survey123
Python

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
  • Bachelor's Degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics, Geography, or other STEM field)
  • 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
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
  • Master's or Doctoral degree

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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