Source Performance and Quality Specialist (Mid)
Location: Springfield, VA
TS/SCI REQUIRED
Position Responsibilities:
- Define, execute, and analyze the results of complex studies of collection system performance.
- Respond to requests for studies from customers across the NSG, gathering requirements and educating customers on outcomes and results.
- Aid in the design, production, and implementation of a federated approach to provide end-to-end Source performance metrics that ensures continuity, consistency, agreement, transparency, and awareness both internally (team-wide) and externally (with customers).
- Perform detailed end-to-end source management performance analysis to support multi-source requirements. (i.e. satellite collection performance, collection requirements performance, simulations of collection impacts based on weather and other sensor specific functionality).
- Create and produce analytic reports in accordance with the format provided by the Government.
- Apply quantitative and qualitative methods to support the improvement of new metrics, analytical techniques and tools to assist in the measurement of imagery utilization and satisfaction within the framework of multi-source strategies.
- Perform modeling and data analysis on near-term changes to GEOINT requirements, constellations, and systems and clearly communicate impacts to current and future systems including anomalies to inform senior-level decision makers. Identify, collect, process, and analyze large volumes of data to produce and enhance products, processes, and systems.
- Investigate and introduce novel analytical techniques, data mining and retrieval, and statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and visualize results.
- Provide support for emerging requirements as assigned by the Government.
Required Skills. Proficiency in common geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana.
