Data Scientist

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 Qualifications:

• Active Top Secret Clearance with SCI access
• 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

EOE/Minorities/Females/Vet/Disabled