Data Scientist

SAIC; Chantilly (VA); On-site; USD 100,000 - 140,000; Full time

Job summary

SAIC is seeking a Data Scientist to provide Systems Engineer Technical Advisor (SETA) services supporting the NRO’s Ground Enterprise Directorate (GED) in Chantilly, VA, responsible for the acquisition of systems over the complete end-to-end life cycle.

Key duties of this position include (but are not limited to) proceeding with data collection and analysis to enable transparency and explainability of AI/ML systems, supporting government customers to manage machine learning analytics programs,

Qualifications

• Bachelors and five or more years of experience; Masters and three or more years; PhD and 0 years. Relevant experience can substitute.
• Familiarity with Power Automate, Power BI, and PowerShell scripting for automation and data management tasks.
• Strong engineering background with knowledge of software architectures and machine learning approaches.
• Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices.
• Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues.
• Demonstrated initiative, creative problem-solving, and teamwork skills.
• Excellent written and oral communication in technical settings.
• Proficiency with MS Office applications.

Responsibilities

• Provide data collection and analysis to enable transparency and explainability of AI/ML systems.
• Support Government customer to manage machine learning analytics programs and scale AI/ML models.
• Provide software architecture and technical expertise to support future systems and architectures and oversee development contractors.
• Apply systems analysis to identify technical debt, runway, and efficiency trade-offs for cloud-based designs.
• Develop briefings and documentation for computer vision tools, roadmaps, and acquisition strategies.
• Facilitate interchanges; resolve issues; provide engineering advice to achieve innovative capabilities for automated ML analytics.
• Collaborate with GED SETA staff to lead the customer in acquiring modern processing applications.

Skills

Power Automate

Power BI

PowerShell scripting

Software architectures

Machine learning

Ontologies

Dataset generation

Model evaluation and validation

Responsible AI practices

Agile software development (Scrum, SAf

Cloud computing architectures

MS Office

Strong communication

Security clearance

Education

Bachelor's degree

Master's degree

PhD

Tools

Power Automate

Power BI

PowerShell

Job description

Job ID 2618609
Location Chantilly, VA, US
Date Posted 2026-10-29
Category Information Technology
Subcategory Data Scientist
Schedule Full-Time
Shift Day Job
Travel No
Minimum Clearance Required Top_Secret
Clearance Level Must Be Able to Obtain TS/SCI with Poly
Potential for Remote Work ORA_ON_SITE

Description

SAIC is seeking a Data Scientist to provide Systems Engineer Technical Advisor (SETA) services supporting the NRO’s Ground Enterprise Directorate (GED) in Chantilly, VA, responsible for the acquisition of systems over the complete end-to-end life cycle.

Key duties of this position include (but are not limited to)

• Provide data collection and analysis to enable transparency and explain ability of AI/ML systems.
• Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple phenomenologies.
• Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors.
• Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design.
• Develop briefings and documentation material to illustrate features, capabilities and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them.
• Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics.
• You will work side‑by‑side with the other GED SETA staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.

Qualifications

Required Education and Experience

• Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience. Relevant experience to be substituted in lieu of degree. Active Top Secret Clearance with the ability to obtain a SCI/ with Polygraph.
• Familiarity with Power Automate, Power BI, and PowerShell scripting for automation and data management tasks.
• Strong engineering background with knowledge of software architectures and machine learning approaches.
• Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices.
• Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues.
• Demonstrated high level of initiative, creative problem-solving, and critical thinking.
• Demonstrated capability and success working in team environments.
• Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment.
• Good working knowledge of MS Office applications.

Target salary range $100,001 - $140,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.