SAIC

Automation and Analytic Modeling Engineer

SAIC$100K — $130K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant technical field (Engineering, Computer Science, etc.)
  • 9+ years of experience in intelligence or GEOINT-related programs
  • Experience with analytic modeling tools for deriving insights
  • Proficient in automation technologies (Python, R, MATLAB, etc.)
  • Strong knowledge of GEOINT data sources and intelligence processes
  • Experience with machine learning and data visualization methodologies
  • Active TS/SCI clearance required

Responsibilities

  • Design and implement analytic models and automated workflows for GEOINT data
  • Leverage machine learning and statistical analysis to identify intelligence patterns
  • Optimize automated processes to improve intelligence efficiency
  • Collaborate with stakeholders to develop technical solutions for operational challenges
  • Integrate emerging technologies into operational environments
  • Provide technical leadership in geo-intelligence and automation
  • Identify innovative solutions to enhance mission effectiveness
  • Support system testing and ensure mission readiness

Benefits

  • Ongoing application acceptance with no deadline
  • Opportunity to work in a dynamic and innovative space program
  • Engagement in cutting-edge technologies and methodologies
  • Collaboration with government and industry experts
  • Potential for career advancement in national security sector
Full Job Description
Job Description

Description

SAIC is looking for an Automation and Analytic Modeling Engineer with Space Domain Operations experience in Chantilly, VA to support a very dynamic and innovative space program office in Chantilly, VA. The Automation and Modeling Subject Matter Expert (SME) serves as a senior engineering professional responsible for developing, implementing, and optimizing advanced analytic modeling, automation, and data processing solutions to accelerate the extraction of actionable insights from GEOINT and related intelligence data sources. This position combines expertise in data analytics, systems engineering, automation technologies, and intelligence workflows to enhance mission effectiveness, improve collection strategies, and reduce the time required to deliver meaningful intelligence to end users.

The successful candidate will demonstrate technical excellence, innovative problem-solving skills, and the ability to develop unconventional approaches that advance program objectives and enable data-driven decision-making across complex operational environments.

Key Responsibilities:
• Design, develop, and implement analytic models, algorithms, and automated workflows to extract insights from GEOINT and multi-source intelligence data.
• Leverage advanced modeling, simulation, machine learning, statistical analysis, and visualization tools to identify patterns, trends, and mission-relevant intelligence.
• Develop and optimize automated collection, exploitation, processing, and dissemination (PED) strategies to improve efficiency and accelerate intelligence delivery.
• Collaborate with engineers, analysts, data scientists, mission partners, and government stakeholders to translate operational challenges into technical solutions.
• Integrate emerging technologies, automation frameworks, and analytic capabilities into operational environments.
• Provide technical leadership and subject matter expertise regarding GEOINT data exploitation, automation technologies, and advanced analytics.
• Identify innovative approaches and non-traditional solutions to solve challenging intelligence problems and accelerate mission outcomes.
• Support system testing, validation, and performance assessment activities to ensure operational effectiveness and mission readiness.
• Prepare technical documentation, engineering reports, briefings, and recommendations for government leadership and stakeholders.

Qualifications

Required Qualifications:
• Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, Physics, Geospatial Science, or a related technical discipline.
• 9+ years of experience supporting intelligence, defense, national security, or GEOINT-related programs.
• Demonstrated experience using analytic modeling tools and techniques to derive actionable insights from GEOINT, geospatial, imagery, or intelligence data.
• Experience developing and implementing automated collection, processing, exploitation, and analytic workflows.
• Strong understanding of GEOINT data sources, collection methodologies, and intelligence analysis processes.
• Experience with scripting and automation technologies such as Python, R, MATLAB, Java, or similar languages.
• Knowledge of data engineering, machine learning, artificial intelligence, statistical analysis, and data visualization methodologies.
• Ability to evaluate complex technical challenges and develop innovative, mission-focused solutions.
• Strong written and verbal communication skills with experience briefing technical and non-technical stakeholders.
• Active TS/SCI clearance with eligibility for required program access.

Desired Qualifications:
• Advanced degree in Engineering, Computer Science, Data Science, Geospatial Science, or related field.
• Experience supporting National Security Space, GEOINT, ISR, or intelligence community programs.
• Experience integrating commercial and government analytic platforms into operational workflows.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline.

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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