We are seeking an experienced Explotation Specialist/Data Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a Data Scientist, you will play a key role in designing, implementing, and maintaining the data architecture that supports AI/ML model development, testing, and evaluation. You will develop scalable data pipelines, integrate data from emerging sensors and platforms, and ensure data is standardized, accessible, and compliant with Government data governance requirements. Working closely with engineers, imagery scientists, and mission analysts, you will help deliver reliable, high-quality datasets that enable advanced analytics and operational decision-making.

Required Qualifications

• Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
• 4+ years of experience designing, developing, and maintaining SQL and/or NoSQL databases within cloud-based environments.
• Experience leveraging APIs to integrate systems, query data sources, and automate data movement across platforms.
• Proficiency in one or more programming languages, including Python, JavaScript, or Java.
• Experience designing, implementing, and supporting operational data pipelines capable of processing multiple data formats and interfaces.
• Strong understanding of data architecture, ETL processes, data governance, and enterprise data management best practices.
• Excellent written and verbal communication skills with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications

• Experience supporting NGA enterprise technologies and environments, including NGA CORE, NGA MLOps, Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
• Experience implementing processes and tools within organizations utilizing the Scaled Agile Framework (SAFe).
• Experience developing dashboards and data visualizations to monitor operational pipeline health, data availability, currency, throughput, and overall system performance.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines to ingest, process, and store data from emerging sensors and collection platforms.
• Create and manage database schemas, tables, and supporting infrastructure while implementing automated data quality monitoring and health alerts.
• Develop API-based workflows to securely move sensor data between Government data platforms in accordance with program requirements.
• Ensure all sensor data complies with Government-defined schemas, formatting standards, metadata requirements, and data governance policies.
• Assess the impact of new sensor data on existing databases, metadata models, APIs, schemas, and ETL processes to support seamless integration into operational data pipelines.
• Develop preprocessing and standardization workflows to prepare data for AI/ML model training, testing, and evaluation. Activities may include format conversion, imagery chipping, orthorectification, metadata normalization, and other transformation processes required to produce high-quality analytical datasets.
• Collaborate with cross-functional teams to optimize data workflows, improve pipeline reliability, and support the delivery of mission-ready datasets for advanced analytics and machine learning applications.