Data Analyst with Security Clearance

Radiance Technologies; Alexandria (OH); On-site; USD 110,000 - 165,000; Full time

Job summary

Radiance Technologies is seeking a highly qualified data scientist to support GEOINT and Multi-INT production. You will analyze GEOINT data, apply machine learning approaches, and collaborate with a multidisciplinary team of scientists, engineers, and analysts in the Dayton, OH area.

The role requires an active TS clearance with SCI eligibility, strong analytical and writing skills, and proficiency in Python and data visualization tools. A Bachelor's degree in a relevant STEM field is required.

Qualifications

• Active Top Secret Clearance with SCI eligibility.
• Strong analytical, inference, critical thinking, and creative problem-solving skills.
• Ability to code/script, especially in Python.
• Experience with data science and visualization tools (Dash, R Shiny, Tableau, JMP/JMP Pro).
• Background in machine learning/artificial intelligence.
• Experience with GEOINT data, including non-literal data.
• Expertise in Geographic Information Systems (GIS).
• Knowledge of phenomenologies relevant to GEOINT data.

Responsibilities

• Utilize advanced data science methods to analyze and exploit GEOINT data and other sources 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.
• Strong technical writing and briefing skills.

Skills

Top Secret Clearance

Analytical thinking

Creative problem-solving

Team leadership

Python programming

Data visualization

Machine learning/AI

GEOINT data experience

Geographic Information Systems

Technical writing

Education

Bachelor's degree in a relevant field

Tools

Dash

R Shiny

Tableau

JMP Pro

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 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
• 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 Bachelor's Degree (or higher) in a relevant field (e.g., Data Science, Statistics, Computer Science, 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.