SAIC
SAIC

GEOINT SIGINT Data Scientist

Chantilly, VA, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
On-site
USD $160,001.00 - 200,000.00 per year
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Job Details

Skills

  • Science
  • SIM
  • Security Clearance
  • Recruiting
  • Acquisition
  • Lifecycle Management
  • Leadership
  • Modeling
  • CGI
  • Meta-data Management
  • Analytical Skill
  • Normalization
  • Fusion
  • Reliability Engineering
  • Decision-making
  • Management
  • Data Flow
  • Data Quality
  • Sensors
  • Predictive Modelling
  • Thread
  • Process Improvement
  • Workflow
  • Testing
  • Quality Assurance
  • Technical Writing
  • Reporting
  • System Integration
  • Regulatory Compliance
  • JD
  • Software Engineering
  • IC
  • Internal Communications
  • Integrated Circuit
  • DoD
  • Data Analysis
  • Signals Intelligence
  • Artificial Intelligence
  • Data Science
  • Machine Learning (ML)
  • Statistics
  • Creative Problem Solving
  • Critical Thinking
  • Collaboration
  • Information Technology
  • Systems Engineering
  • FOCUS

Summary

Job ID: 2615907

Location: Chantilly, VA, US

Date Posted: 2026-08-20

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE

Description

SAIC is hiring a GEOINT SIGINT Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support for a program based in Chantilly, VA. This role contributes to the National Reconnaissance Office's (NRO) Ground Enterprise Directorate (GED), which oversees the acquisition and lifecycle management of systems from inception to deployment and operations.

As the GEOINT SIGINT Data Scientist, you will support the analysis of complex data to drive strategic mission efforts. The role supports the resolution of operational and systems problems into data-driven solutions, guides analytic strategy, and advises leadership on mission impact, model risk, and data-informed tradeoffs across GEOINT, SIGINT, and multi-INT ground architectures.

Job Responsibilities to Include:
  • Supports exploitation, characterization, and modeling of imagery-derived data; integrates sensor-specific metadata, collection geometry, and phenomenology into analytic workflows to improve mission performance assessments.
  • Supports ingestion, normalization, and fusion of structured and unstructured SIGINT data; evaluates signal quality, collection parameters, and processing pipelines to enhance end-to-end ground system reliability.
  • Develops and evaluates data models that combine GEOINT, SIGINT, and mission-system telemetry to support cross-domain situational awareness and enterprise-level decision-making.
  • Supports designing and managing data sets to ensure efficient data flow and interoperability with existing and emerging programs.
  • Supports the collection and integration of large, complex data sets that meet cross-organizational requirements, including GEOINT/SIGINT mission data repositories and ground processing systems.
  • Evaluates data quality, reliability, and efficiency throughout the data lifecycle, including sensor-specific artifacts, collection constraints, and mission-system dependencies.
  • Collaborates with other data scientists, software developers, operators, project managers, and clients to prepare data for predictive modeling across GEOINT and SIGINT mission threads.
  • Documents internal process improvements to optimize data delivery and automate manual processes within ground enterprise workflows.
  • Supports testing and validation procedures to ensure operational platforms function correctly, including gathering user feedback, identifying issues, conducting updates, and performing routine quality assurance checks on GEOINT/SIGINT data pipelines.
  • Supports the development of essential technical documentation for reference and reporting, including processes, system specifications, and modifications related to GEOINT/SIGINT data handling and mission-system integration.
  • Supports data compliance with regulations, develops guidance, and promotes ethical use of developed platforms, data repositories, and relevant technical records.


Qualifications

Required Education and Experience
  • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience. Relevant experience may be substituted in lieu of degree.
  • 5+ years of experience in software engineering with IC, DoD, and/or commercial space architectures, systems, and/or operations.
  • Hands-on practical experience with data analytics, machine learning, and statistical methods.
  • GEOINT and SIGINT experience.
  • Experience in applying modern techniques in artificial intelligence (AI), data science, machine learning (ML), or statistics.
  • 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: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111346
  • Position Id: 2615907
  • Posted 10 hours ago

Company Info

About SAIC

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion.​​​ For more information, visit saic.com. For ongoing news, please visit our newsroom.

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