Global Radiance Review

• Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
• Provide technical leadership to teams performing exploitation and process development
• Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
• Perform algorithm development for complex data exploitation processes

Remote Sensing Scientist

Architect

• Support regression testing of new simulation features
• Validate fixes against DR/CR tickets
• Perform reproduction steps and document outcomes
• Assist in automated test execution
• Support regression testing of new simulation features as the primary focus, validating fixes against DR and CR tickets, reproducing issues, and documenting outcomes.

Senior Modeling & Simulation Architect

Data Analyst

• Analyze datasets to identify trends, patterns, and actionable insights.
• Support data extraction, transformation, and loading (ETL) activities.
• Assist with the development, testing, and implementation of analytical tools and software.
• Prepare data for analytics, reporting, and machine learning initiatives.
• Support data scientists and analysts in research, modeling, and analytical projects.
• Develop reports, dashboards, and technical documentation.
• Perform data quality reviews and validation activities.
• Identify opportunities for process improvement and automation.
• Communicate analytical findings to technical and non-technical stakeholders.
• Participate in Agile development activities and team collaboration efforts.

Junior Data Analyst

Data Scientist

• Lead the design, development, validation, and deployment of machine learning and AI solutions
• Conduct applied research and develop analytical approaches to solve complex mission challenges
• Design and execute studies using large-scale structured and unstructured datasets
• Develop statistical models, predictive analytics solutions, and advanced analytical methodologies
• Advise program leadership on technical strategies, emerging technologies, and analytical best practices
• Deliver analytical findings through reports, visualizations, dashboards, and executive briefings
• Lead model validation, quality assurance, and technical review activities
• Mentor data scientists and analysts while providing technical leadership across project teams
• Collaborate with stakeholders to identify mission gaps and data-driven solutions
• Support strategic planning and capability development initiatives
• Participate in Agile development activities and cross-functional team collaboration

Senior Data Scientist

• Apply statistical analysis, machine learning, and artificial intelligence techniques to solve complex business and mission challenges
• Analyze large datasets to identify trends, patterns, anomalies, and operational insights
• Develop predictive, prescriptive, and advanced analytical solutions
• Design, build, evaluate, and refine machine learning models
• Develop data visualizations, dashboards, and analytical products that communicate findings effectively
• Transform raw data into actionable recommendations for stakeholders
• Collaborate with customers to understand mission needs and operational requirements
• Support enterprise analytics initiatives and decision-support capabilities
• Participate in model validation, testing, and quality assurance activities
• Provide technical leadership and mentoring within project teams
• Participate in Agile development activities and cross-functional collaboration

• Perform data mining, data preparation, analysis, and reporting activities
• Conduct studies, assessments, and analytical reviews to support customer requirements
• Evaluate data quality, accuracy, and completeness to support sound decision-making
• Develop reports, dashboards, visualizations, and analytical products
• Prepare and organize datasets for analytical and modeling activities
• Support implementation of data models and analytical solutions
• Provide database and data management support
• Document findings and present recommendations to stakeholders
• Collaborate with data scientists, engineers, and customers to address mission challenges
• Identify opportunities for process improvement and automation
• Participate in Agile project activities and team collaboration efforts