Data Scientist — AI/ML Systems Engineer (TS/SCI)

SAIC; Chantilly (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

SAIC is seeking a Data Scientist to provide SETA support for the NRO Ground Enterprise Directorate (GED) in Chantilly, VA. The role focuses on acquiring systems across the end-to-end life cycle, including AI/ML-driven software services. An active TS/SCI with poly is required.

You will collect data to enable explainability of AI/ML systems, support ML analytics programs, and assist government managers in planning future cloud-based architectures with development contractors.

Qualifications

• Bachelor’s degree in STEM with five+ years of experience; Master’s with three+ years; PhD with 0 years.
• Active Top Secret Clearance with Polygraph.
• 5 years of SharePoint development, site customization, and workflow automation.
• Proficiency with HTML, CSS, JavaScript, jQuery, React, and REST APIs.
• Familiarity with Power Automate, Power BI, and PowerShell scripting for automation and data management tasks.
• Experience with Git-based version control; exposure to DevSecOps tooling.
• Strong engineering background with software architectures and machine learning knowledge.
• Experience with ontologies, training dataset generation, model evaluation/validation, and responsible AI practices.
• Knowledge of Agile software development (Scrum, SAFe) and cloud architectures; monitoring progress with agile metrics.
• Tableau Certified Data Analyst or equivalent is a plus.
• Excellent initiative, problem-solving, and teamwork; strong written and oral communication.

Responsibilities

• Provide data collection and analysis to enable transparency and explainability of AI/ML systems.
• Provide technical and engineering support to Government to manage ML analytics programs; develop and scale AI/ML models.
• Provide software architecture and other technical expertise to support planning of future systems and architectures, and oversight of development contractors.
• Apply systems analysis and design methodology to identify technical debt, architectural runway, and efficiency trade-offs in cloud-based software design.
• Develop briefings and documentation illustrating features, capabilities and mission use cases for computer vision tool portfolio; develop technical roadmaps and acquisition strategies.
• Facilitate technical and programmatic interchanges; identify and resolve issues; provide engineering and technical advice to achieve innovative capabilities for automated ML analytics.
• Work side-by-side with GED SETA staff to lead the customer in acquiring modern processing applications.

Job description

SAIC is seeking a Data Scientist to provide SETA support for the NRO Ground Enterprise Directorate (GED) in Chantilly, VA. The role focuses on acquiring systems across the end-to-end life cycle, including AI/ML-driven software services. An active TS/SCI with poly is required.

You will collect data to enable explainability of AI/ML systems, support ML analytics programs, and assist government managers in planning future cloud-based architectures with development contractors.