Data Scientist--JIATF at CACI in Alexandria, VA

  • Company: CACI
  • Location: Alexandria, VA
  • Salary: $79K – $163K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-30

Apply for this role

All open roles at CACI

Job description

Job Title: Data Scientist--JIATF Job Category: Science Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 25% Type of Travel: Continental US * * * The Opportunity: Are you passionate about solving complex challenges with data? Join a mission-driven team supporting Joint Interagency Task Force (JIATF) 401 , where your expertise in data science, machine learning, and advanced analytics will directly contribute to critical national security and operational missions. As a Data Scientist , you will transform complex, multi-source data into actionable intelligence and decision-support products that inform mission planning, operational assessments, and strategic decision-making. Working alongside intelligence professionals, operational leaders, and technical experts, you'll leverage cutting-edge technologies, cloud platforms, and advanced analytical methods to uncover insights that matter. This role offers the opportunity to tackle real-world problems at scale, influence mission outcomes, and help shape the future of data-driven decision making within a high-impact government environment. What you get to do: As a key member of the analytics team, you will: Develop and deploy advanced statistical, predictive, and machine learning models to support 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 that improve efficiency and decision quality. Integrate and synthesize data from diverse sources to create comprehensive analytical products and actionable insights. Build interactive dashboards, visualizations, and executive-level reports that communicate findings to both technical and non-technical audiences. Apply data mining, artificial intelligence, and advanced analytics techniques to solve challenging mission problems. Support enterprise data modernization efforts, including data architecture, governance, and management initiatives. Collaborate with government stakeholders to understand mission needs and translate operational challenges into innovative analytical solutions. Evaluate and implement emerging technologies, tools, and methodologies to enhance mission effectiveness. Prepare technical documentation, reports, and presentations to communicate analytical approaches, findings, and recommendations. Support cloud-based analytical environments, including Microsoft Azure Government and other approved platforms. Champion data quality, integrity, and best practices across mission systems and analytical processes. Required Qualifications: Active Secret Security Clearance . Ability to obtain and maintain access required for supported mission systems. U.S. Citizenship required. 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. 7+ years of relevant professional experience, including: 4+ years supporting systems administration or data-focused technical environments.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. Desired Qualifications Master's degree in Data Science, Statistics, Computer Science, Artificial Intelligence, Operations Research, Engineering, or a related discipline. Experience supporting the Department of Defense (DoD), Intelligence Community (IC), Federal Law Enforcement, or other interagency organizations. Experience working within 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, o

Data Scientist--JIATF on JobPost.