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 IN 2017 AND 2018 AND IS A NOMINEE FOR THIS YEAR’S AWARD!

Radiance is seeking a highly qualified and motivated data scientist who will work across the National Air and Space Intelligence Center to advance and support data-driven intelligence analysis. Successful candidates will have experience with statistical and computer programming languages such as R and Python, visualization toolkits such as R Shiny and Tableau, and/or experience with geospatial analysis, including ArcGIS. Previous experience working with Structured Observation Management (SOM) and geospatial data is a plus. At a minimum, candidates should have experience with data cleaning/wrangling, statistical analysis/machine learning, report writing, and identifying structure and trends in large datasets.

JOB DUTIES:

• Utilize statistical analysis and to clean, integrate, and analyze data derived from various intelligence sources
• Work with intelligence analysts to provide data-driven answers to various intelligence questions and taskings
• Work with data architects and data managers to develop process improvements for data collection and storage
• Produce exploratory and publication-quality data visualizations that support intelligence insights
• Conduct geospatial analysis to determine pattern of life activity from large amounts of data

Required Skills

• Understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
• Active TS/SCI Clearance

Required Experience

• Bachelor’s Degree in Statistics, Mathematics, Physics, Geographic Information Systems or relevant technical field
• Experience with programming languages such as R, Python, and SQL
• Experience with data visualization platforms such as R Shiny and Tableau
• Knowledge of GIS and tools such as ArcGIS

 DESIRED SKILLS

• Master’s/Ph.D. in Statistics, Mathematics, Physics, Geographic Information Systems or relevant technical field
• Experience working with geospatial and time-series data
• Understanding of various unsupervised and supervised machine learning tasks, including clustering (k-Means, DBSCAN, GMM) and regression/classification algorithms

• Understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).
• Active TS/SCI Clearance