
Data Steward
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Job overview
Radiance Technologies seeks a data steward to support GEOINT and Multi-INT production and advance data analytical processes at NASIC. The role works with analysts and data scientists on structured data schemas, data sources, and data quality, while collaborating with scientists, engineers, and analysts. The company describes itself as employee-owned and lists benefits including insurance, a 401(k), and educational reimbursement.
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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. In fact, Radiance was named by the Dayton Business Journal as one of the Best Places to Work in Dayton five years in a row... 2017-2021! Radiance is seeking a highly qualified and motivated data steward 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 - Work with analysts and data scientists to develop schemas for structured data management while ensuring that data capture adheres to IC standards - Assist in identifying additional data sources that can advance analytic priorities - Ensure data consistency and management with appropriate QA/QC scripts - Collaborate with a team and provide guidance to the government as appropriate Required Skills: - Have an Active Top Secret Clearance with ability to obtain SCI access - Strong analytical, inference, critical thinking, and creative problem-solving skills - Ability to work both independently and in a team environment - Strong technical writing, briefing, and organizational skills Desired Qualifications: - Bachelor's Degree in a relevant field (e.g., Data Management or Analytics, GIS, Geography, or other STEM field) - Ability to code/script, especially in Python - Experience with GEOINT data, including non-literal data - Experience with the Atlas database - Experience with the Phoebe database - Expertise in Geographic Information Systems - Knowledge of phenomenologies relevant to GEOINT data - Master's or Doctoral degree
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