C

CACI

Provides government contracting technology and services

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeAlexandria, VA, USA$94.4k - $198.2k

About the Job

Requirements

  • An active Top Secret/SCI clearance is required.
  • A master's degree with 10 or more years of experience, a bachelor's degree with 15 or more years, an associate degree with 17 or more years, or a high school diploma/GED with 19 or more years is required, along with demonstrated experience applying data science methodologies to complex operational or enterprise challenges.
  • Experience using Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms is required.
  • Advanced proficiency in Python for data science, statistical analysis, machine learning, automation, and model development is required.
  • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications is required.
  • Experience using Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations is required.
  • A strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies is required.
  • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources is required.
  • Experience using AI-enabled tools, large language models, or advanced analytics platforms to support operational decision-making is required.
  • Proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials, is required.
  • The ability to communicate complex analytical concepts and model outputs clearly and actionably to senior military and civilian leadership is required.
  • The ability to collaborate across multidisciplinary technical and operational teams is required.

Responsibilities

  • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
  • Use Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
  • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
  • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
  • Use artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
  • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools to communicate complex analytical findings.
  • Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.
  • Collaborate with data engineers, data analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
  • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
  • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
  • Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.
  • Produce technical and model documentation, analytical reports, executive briefings, and recommendations for senior military and civilian leadership.
  • Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.
  • Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.

Desired Qualifications

  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
  • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
  • Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

About the Company

CACI

Provides government contracting technology and services

CACI International Inc. provides technology and professional services to U.S. government clients, focusing on national security and modernization. It earns most of its revenue through long-term government contracts that fund engineering, intelligence, logistics, cybersecurity, data analytics, and IT solutions for defense, intelligence, and federal civilian agencies. Its products and services work by delivering specialized technical expertise, secure systems, and mission-support capabilities that help agencies run operations more efficiently and securely. CACI differentiates itself through its deep domain knowledge in national security, a proven track record of delivering high-quality, reliable solutions, and a skilled workforce that can execute complex, long-duration contracts. The company’s goal is to be a trusted partner for government modernization needs by providing advanced technology solutions and mission support that enhance national security and operational effectiveness.

Company size
10,001+
Company stage
IPO
Headquarters
Reston, VA
Founded
1962

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