Data Scientist--JIATF

CACI•Alexandria, VA
•$79,400 - $162,700•Onsite

About The Position

CACI is seeking a Data Scientist to support Joint Interagency Task Force (JIATF) 401. The role transforms complex, multi-source data into actionable intelligence and decision-support products for mission planning, operational assessments, and strategic decision-making. The Data Scientist works with intelligence professionals, operational leaders, and technical experts, applying data science, machine learning, advanced analytics, and cloud technologies to support national security and operational missions. This is an onsite position, with up to 25% travel within the continental United States.

Requirements

  • Active Secret security clearance.
  • Ability to obtain and maintain access required for supported mission systems.
  • U.S. citizenship.
  • Ability to work onsite at the designated work location; this is not a remote position.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical field.
  • At least 7 years of relevant professional experience, including at least 4 years supporting systems administration or data-focused technical environments and at least 2 years supporting cloud-based systems or cloud administration environments.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Experience developing data-driven solutions using statistical and analytical methodologies.

Nice To Haves

  • Master's degree in Data Science, Statistics, Computer Science, Artificial Intelligence, Operations Research, Engineering, or a related discipline.
  • Experience supporting the Department of Defense, Intelligence Community, Federal Law Enforcement, or other interagency organizations.
  • Experience with cloud analytics environments such as Microsoft Azure, AWS, or similar platforms.
  • Hands-on experience developing and deploying machine learning solutions.
  • Experience with geospatial, network, graph, intelligence, or operational analytics.
  • Knowledge of data architecture, metadata management, data governance, and data management best practices.
  • Relevant technical certifications such as Microsoft Azure, AWS, Databricks, or equivalent cloud or data analytics credentials.
  • Experience with Python, R, SQL, Spark, Databricks, or other modern data science and analytics tools.

Responsibilities

  • Develop and deploy statistical, predictive, and machine learning models for operational and intelligence missions.
  • Analyze large, complex datasets to identify trends, anomalies, patterns, and emerging risks.
  • Design and automate data pipelines, workflows, and analytical processes.
  • Integrate and synthesize data from diverse sources to produce analytical products and actionable insights.
  • Build dashboards, visualizations, and reports for technical and non-technical audiences.
  • Apply data mining, artificial intelligence, and advanced analytics to mission problems.
  • Support enterprise data modernization, including data architecture, governance, and management initiatives.
  • Work with government stakeholders to understand mission needs and develop analytical solutions.
  • Evaluate and implement technologies, tools, and methodologies to enhance mission effectiveness.
  • Prepare technical documentation, reports, and presentations explaining analytical approaches, findings, and recommendations.
  • Support cloud-based analytical environments, including Microsoft Azure Government and other approved platforms.
  • Promote data quality, integrity, and best practices across mission systems and analytical processes.

Benefits

  • Flexible time off benefit.
  • Learning resources and learning and development opportunities.
  • Healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service