Maven Exploitation Specialist​/Imagery Scientist; SAR Focused EXPERT

Job Overview

We are seeking a Maven Exploitation Specialist/Imagery Scientist (SAR Focused) Expert to support Department of Defense intelligence and collection missions at Springfield, VA.

Primary location:
Springfield, VA. Secondary location:
St. Louis, Missouri.

Clearance required:

TS/SCI, willing to take a CI Poly in the future.

• Integrate emerging sensors and platforms into existing Maven or government‐directed data pipelines and workflows. Develop pipelines and data structures to incorporate new sensor sources into existing data workflows.
• Conduct assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms.
• Assess potential differences in metadata, data format, and data structure relative to changes to databases, schemas, APIs, and other ETL processes for ingestion and movement of data when integrating into the existing data operations pipeline.
• Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains.
• Determine how to pre‑process and standardize the data to match existing data standards or to transform it into a usable state for labeling and model development. This may involve converting between file format types or tiling full‑size images into specified sizes or geospatial bounds.
• Investigate any gaps in emerging sensor capability that may need to be supplemented by other sources.
• Explore options for coincident imagery collections from other platforms (e.g., EO platforms) that align with areas of emerging sensor collection. Determine other platforms with similar geographic and temporal coverage.
• Develop and implement mathematical conversion models to transform data labels from multiple imagery types (e.g., PNG to SICD, WBID, SIDD) and between orthorectified and non‑orthorectified imagery.
• Develop methods to execute tiling and pre‑processing of full‑size raw imagery into specified sizes and data formats (e.g., PNG) while maintaining metadata and data integrity.
• Develop and implement mathematical conversion models to transform pre‑processed tiles between image types and generate tiles with specified, precise geospatial boundaries. These methods should account for orthorectification and other geospatial aspects to ensure edges of the tile remain geospatially accurate. Generate tiles from full‑size image collections that match specific pixel dimensions or geospatial boundaries.
• Analyze and assess image quality and sensor metadata to make recommendations and curate imagery acquisition in alignment with government‐directed priorities.
• Execute day‑to‑day management of all imagery curation, acquisition, and pre‑processing of imagery, such as image tiling, generation of pre‑labels, and converting between file types in accordance with NGA Maven data strategies.
• Provide EO imagery coincident with any SAR delivered imagery within a specified geographic and temporal range.
• Identify methods to curate imagery according to government‐directed prioritization. Use NLP to extract information from intelligence reporting, develop automated or semi‑automated machine‑based technologies to maximize likelihood of imagery with objects of interest, or connect to intelligence repositories via API.
• Monitor and prioritize data holdings to support data diversity needs defined by the government (different geographic regions, temporal windows, metadata characteristics, scene characteristics, image sensor platforms).
• Develop, test, and evaluate new algorithms, processes, methodologies, and products using remotely sensed data, imagery, and cloud‑based solutions.
• Oversee weekly deliveries of processed imagery and conduct ad‑hoc deliveries as needed for quick‑turn operations support.

• 4+ years as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products.
• Experience using SARPy and MATLAB SAR toolbox.
• Experience in RNIIRS, information‑theoretic‑based image quality metrics, SAR imagery quality metrics (e.g., Integrated Sidelobe Ratio, Multiplicative Noise Ratio), and sensor metadata describing impacts of geometry on…