GIS Data Analyst

Radiance Technologies

Ohio

On-site

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

Radiance Technologies is seeking a highly qualified data scientist to support geospatial intelligence production at NASIC in Dayton, OH. The role focuses on applying advanced data science within GIS to address intelligence questions and produce actionable geospatial products for national security needs.

The ideal candidate will have extensive ArcGIS experience, Python scripting skills, and the ability to work both independently and collaboratively in a fast-paced environment.

Qualifications

  • 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.

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.
  • Collaborate with scientists, engineers, and analysts to balance multiple tasks and deliver actionable geospatial products.

Skills

Geospatial data analysis
GIS expertise
Critical thinking
Team collaboration
Technical writing

Education

Bachelor’s Degree in Computer Science/Data Science/Geography

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 DutiesUtilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data in a GIS framework to support intelligence productionAssist in developing approaches to address key intelligence questionsRequired Skills:Active Top Secret Clearance with SCI eligibilitySubstantial familiarity with ArcGIS softwareExperience designing, developing, and deploying dynamic geospatial web applications and toolsStrong analytical, inference, critical thinking, and creative problem-solving skillsAbility to work both independently and in a team environmentStrong technical writing and briefing skillsDesired 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 Survey123Ability to code/script, especially in PythonExperience with data science and visualization toolsBackground in machine learning/artificial intelligenceExperience with GEOINT data, including non-literal dataKnowledge of remote sensing datasetsExperience in the Intelligence CommunityBachelor’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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