Data Scientist--JIATF

CACI•Alexandria, VA

4d•Onsite

About The Position

The Data Scientist will support Joint Interagency Task Force (JIATF) 401 by transforming complex, multi-source data into actionable intelligence and decision-support products for mission planning, operational assessments, and strategic decision-making. The role works with intelligence professionals, operational leaders, and technical experts, using data science, machine learning, advanced analytics, and cloud platforms to address national security and operational challenges. The position is onsite and requires an active Secret security clearance, U.S. citizenship, and the ability to obtain and maintain access to supported mission systems.

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.
At least 4 years supporting systems administration or data-focused technical environments.
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 in 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/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 interactive dashboards, visualizations, and executive-level reports for technical and non-technical audiences.
Apply data mining, artificial intelligence, and advanced analytics techniques to mission problems.
Support enterprise data modernization, including data architecture, governance, and management initiatives.
Collaborate with government stakeholders to understand mission needs and develop analytical solutions.
Evaluate and implement emerging technologies, tools, and methodologies to improve mission effectiveness.
Prepare technical documentation, reports, and presentations communicating 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.