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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
PostedAug 14, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Use advanced analytics on GEOINT and supporting data to contribute to intelligence production
  • Develop ways to answer important intelligence questions
  • Guide the team and serve as its main contact for the government

What you bring

  • An active Top Secret clearance and eligibility for SCI access
  • A bachelor’s degree in a relevant discipline, such as data science, statistics or another STEM field
  • Strong analysis, inference, critical thinking and problem-solving abilities
  • Clear technical writing and briefing skills

Who this fits

This role suits someone who can juggle several tasks, work independently or alongside scientists, engineers and analysts, and approach varied intelligence needs creatively. The work supports GEOINT and Multi-INT production at NASIC.

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 GEOINT and Multi-INT 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 creatively approaches 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 to support intelligence production

  • Assist in developing approaches to address key intelligence questions

  • Provide leadership to the team and act as the team POC for the government

Required Skills:

  • Active Top Secret Clearance with SCI eligibility

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

  • 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:

  • Ability to code/script, especially in Python

  • Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar

  • Background in machine learning/artificial intelligence

  • Experience with GEOINT data, including non-literal data

  • Expertise in Geographic Information Systems

  • Knowledge of phenomenologies relevant to GEOINT data

  • 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.