SAIC

GEOINT SIGINT Data Scientist

SAIC$120K — $145K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelors with 9+ years, Masters with 7+ years, or PhD/JD with 4+ years of experience; relevant experience may substitute for degree.
  • 5+ years in software engineering with IC, DoD, or commercial space systems.
  • Hands-on experience with data analytics, machine learning, and statistical methods.
  • Experience in GEOINT and SIGINT domains.
  • Proficiency applying AI, data science, ML, or statistics techniques.
  • Strong initiative, critical thinking, and problem-solving skills.
  • Effective collaboration in team environments.
  • Excellent communication skills, especially in high-tempo settings.

Responsibilities

  • Support analysis of imagery-derived data and improve mission performance assessments.
  • Enhance end-to-end ground system reliability through the normalization and fusion of SIGINT data.
  • Develop data models supporting situational awareness and enterprise-level decisions.
  • Manage data sets for efficient flow and interoperability across programs.
  • Integrate large, complex data sets for cross-organizational missions.
  • Evaluate data quality throughout its lifecycle, addressing constraints and dependencies.
  • Collaborate with teams to prepare data for predictive modeling and validate operational platforms.
  • Document process improvements and optimize data delivery within workflows.

Benefits

  • Opportunities for professional growth in a cutting-edge technology field.
  • Dynamic and collaborative work environment within the National Reconnaissance Office.
  • Involvement in high-impact projects that contribute to national security.
  • Access to training and development programs in data science and machine learning.
  • Promote ethical use of data and compliance with regulations.
Full Job Description
Job 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.


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

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