
Data Analyst
DAYTON, OHJobSeen 2 days agoSeen in employer's feed 2 days ago
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Job overview
Radiance Technologies seeks a data scientist to support GEOINT and Multi-INT production and advance data analytical processes and techniques at NASIC. The successful candidate creatively addresses varied requirements, balances multiple tasks, and collaborates with scientists, engineers, and analysts. The role includes analyzing GEOINT data, helping address intelligence questions, and providing team leadership and government point-of-contact support.
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Full 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)
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