Exploitation Specialist​/Data Scientist to MA VEN, EO and SAR; Senior

+++ This opportunity is for an upcoming award expected in July 2026****

BTS Software Solutions is seeking a Senior Exploitation Specialist/Data Scientist to support MA VEN, EO, and SAR in Department of Defense IC missions at Springfield, VA.

The Senior Exploitation Specialist/Data Scientist will perform data analysis using statistical and quantitative methods, develop visualizations to support decision making, and create software to enable thorough monitoring and management of data pipeline tasks.

Primary

Location:

Springfield, VA

Secondary Locations: St. Louis, Missouri

Clearance Requirement: TS/SCI, must be willing to take a CI Poly in the future

• Integrate emerging sensors and platforms into existing Maven or government‑directed data pipelines. These emerging sensors may still be in their experimentation/pre-IOC (Initial Operating Capability) phase prior to final full operational status. With as much available information as possible on the emerging sensor, develop pipelines and relevant data structures to incorporate new sensor source into existing data workflows.
• Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APIs, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline.
• Conduct analysis of how the emerging sensor data affects overall Maven data holdings from the perspective of machine‑learning model development, test and evaluation use cases, and support for real‐world operational use‑cases.
• Evaluate and recommend a solution for partitioning the emerging sensor's data into training, test, and validation splits for effective machine‑learning model development and model performance evaluation.
• Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Maven Data Strategy and crisis response to the community. Foster cross‑departmental collaboration to enhance workflows and create efficiencies in data analysis and imagery curation that result in greater productivity and efficacy of labeling efforts.
• Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data.
• Build web scraping algorithms for imagery curation in accordance with NGA Maven data priorities.
• Integrate multiple data and intelligence sources in various formats for imagery curation to address gaps and concerns to meet NGA Maven's priorities.
• Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
• Utilize statistical and analytic methods to support answering intelligence requirements and mission objectives.
• Build and integrate analytic tools and algorithms for imagery curation for imagery acquisition and chipping.
• Design methods and mechanisms to track, report, and monitor a set of mission‑specific objectives in order to maintain custody of NGA Maven training data priorities.
• Build software tools to manage labeling campaigns that keep track of unlabeled and labeled data, status of labeling campaigns, and transfer label task information. The tool must support API‑based movement of information between platforms.
• Build software tools to filter and visualize data geospatially, allow feedback entry, or allow analysis of data. The tool must integrate with the existing data management platform.
• Conduct analysis of overall Maven data holdings to support the development of performant Artificial Intelligence and Machine Learning models to satisfy operational user requirements.
• Evaluate, monitor, and provide recommendations on ways to partition training, test, and validation splits for effective machine‑learning model development and model performance evaluation.

• Experience working with AI/ML technologies and data systems, and working with multiple file types including geospatial file formats, JSON,…