Riverside OverviewRiverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging
Description At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and
Seeking an Exploitation Specialist (Data Scientist) to support a government customer’s intelligence mission in Springfield, Virginia. The successful candidate will apply data science, programming, and analytical skills to intelligence and GEOINT data, supporting data exploitation, analytic
Geo Owl is seeking an Exploitation Specialist (Data Scientist) to support a government customer’s intelligence mission in Springfield, Virginia. The successful candidate will apply data science, programming, and analytical skills to intelligence and GEOINT data, supporting
Type of Requisition:Regular Clearance Level Must Currently Possess:Top Secret/SCI Clearance Level Must Be Able to Obtain:Top Secret SCI + Polygraph Public Trust/Other Required:None Job Family:Software Engineering Job Qualifications: Skills:C# Software Development, GIS Applications, Risk Management Framework
OverviewGeospatial Systems Software Engineer Active TS (SCI eligibility) clearance Springfield, VA (hybrid: one work from home day) At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side