Job Requirements
Fort Belvoir, VA
Top Secret/SCI Polygraph not specified
Mid Level Career (5+ yrs experience)
$150,000 - $185,000
Job Description
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.
Minimum Qualifications:
• Active TS/SCI clearance.
• Bachelor’s degree in Data Science, Computer Science, Engineering, or related field.
• A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting.
• Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git.
• Experience in building end-to-end analytic solutions—from data ingestion to deployment—and data visualization tools.
• Exposure to signal processing, computer vision, or geospatial analytics projects.
Preferred Qualifications:
• Master’s degree or certifications in data engineering, machine learning, or related areas.
• Familiarity with FastAPI, Docker, cloud services (e.g. AWS, Azure), and REST APIs.
• Software engineering and/or application development to support automating processes, dashboards, and workflows.
• Experience supporting national security, defense, or intelligence community use cases.
• Exposure to edge-AI environments or low-latency ML deployments.
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.
Minimum Qualifications:
• Active TS/SCI clearance.
• Bachelor’s degree in Data Science, Computer Science, Engineering, or related field.
• A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting.
• Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git.
• Experience in building end-to-end analytic solutions—from data ingestion to deployment—and data visualization tools.
• Exposure to signal processing, computer vision, or geospatial analytics projects.
Preferred Qualifications:
• Master’s degree or certifications in data engineering, machine learning, or related areas.
• Familiarity with FastAPI, Docker, cloud services (e.g. AWS, Azure), and REST APIs.
• Software engineering and/or application development to support automating processes, dashboards, and workflows.
• Experience supporting national security, defense, or intelligence community use cases.
• Exposure to edge-AI environments or low-latency ML deployments.
group id: 90882509