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GIS Data Scientist

Radiancetech Open
Beavercreek Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Radiancetech. Beavercreek · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.

Estimated pay

Radiancetech has not published a salary for this role. The figure below is our estimate, not theirs.

$116,263 – $174,915
What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.
Worked out from 478 postings that stated pay, median $143,050. Last updated Nov 6, 2026.
RoleData Science
SeniorityMid-level
LocationBeavercreek
EmploymentFull-time
PostedSep 8, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Analyze GEOINT and supplementary data in GIS environments to support intelligence production
  • Help shape methods for answering key intelligence questions
  • Develop and deploy dynamic geospatial web applications and tools
  • Work across several tasks with scientists, engineers and analysts on intelligence needs

What you bring

  • An active Top Secret clearance with SCI eligibility
  • A bachelor's degree in a relevant STEM field, such as computer science, geography or another listed field
  • Substantial experience with ArcGIS and building dynamic geospatial web applications and tools
  • Strong analytical judgment, technical writing and briefing skills

Who this fits

This mid-level role suits someone comfortable balancing independent work with collaboration across scientific, engineering and analysis teams. It is based in Beavercreek, Ohio, and requires an active Top Secret clearance with SCI eligibility.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.