Summary:
FRDA is looking for a Data Scientist to join a multidisciplinary team developing analytic capabilities, capturing workflows, designing predictive models and developing business processes for real-world mission challenges. This role supports defense, intelligence, and federal clients by building machine learning models, data pipelines, and APIs to derive insights from complex data—particularly in signal, image, and geospatial domains—and working with structured and unstructured data to generate insights for operations or strategic decision-making.
This role is ideal for someone with a strong interest in high impact, mission-focused work in a fast-paced DOD environment.
This role is onsite in Springfield, VA.
Primary Duties and Responsibilities:
- Design, build, and maintain robust data pipelines for structured and unstructured data.
- Develop and deploy models for signal processing, geospatial analytics, object detection, and anomaly detection.
- Implement analytics as RESTful services for use in tactical or operational environments.
- Clean, process, and format raw data into actionable, mission-ready outputs.
- Support edge-computing constraints and adapt models to operate in austere or bandwidth-constrained settings.
- Work within a modern development stack including Python, Git, Docker, and FastAPI.
- Collaborate with analysts, engineers, and mission leads to prototype and iterate on solutions rapidly.
