Data Scientist - AI​/mL Specialist Fairfax, VA,

Position: Data Scientist - AI/mL Specialist Fairfax, VA, US
## Data Scientist - AI/mL Specialist Fairfax, VA, USApply Now Find out how well you match with this jobJob ID329092

Job Title:

Data Scientist - AI/mL Specialist Job Category:
Science Time Type:
Full time Minimum Clearance Required to Start:
Public Trust Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Continental US     
*
* The Opportunity:

** CACI is seeking a Senior Data Scientist to support the Department of Homeland Security's Cyber Crimes Center (C3) in developing advanced AI and machine learning solutions for critical law enforcement investigations. In this role, you will:
* Design and deploy production-grade AI/ML systems that enable investigators to combat cybercrime and dismantle criminal networks
* Work within a collaborative technical team to deliver AI solutions that meet rigorous federal compliance standards
* Contribute to mission-critical national security operations while advancing responsible AI practices
* Apply cutting-edge machine learning techniques to solve complex investigative challenges

This position requires U.S. citizenship and eligibility to obtain a DHS Public Trust clearance.
** Responsibilities:
*** Design and implement production AI/ML systems compliant with federal, DHS, and ICE governance requirements
* Develop explainable and auditable AI solutions with integrated human-in-the-loop oversight mechanisms
* Build machine learning models for investigative analytics including entity resolution, network analysis, and anomaly detection
* Develop scalable data pipelines and ETL processes using Apache Airflow, Spark, and on-premise infrastructure
* Design database solutions optimized for AI training, fine-tuning, and real-time inference on investigative data Implement continuous monitoring systems to detect bias, performance degradation, and security vulnerabilities
* Support AI Use Case approval processes, Security Authorization (ATO), and risk management protocols
* Document system architecture, data flows, and model explanations for audit and transparency requirements
* Integrate AI capabilities with existing investigative systems through APIs and microservices
* Ensure data provenance documentation and lawful data acquisition per federal requirements
* Collaborate with software engineers, infrastructure architects, and cybersecurity specialists on cross-functional projects
* Communicate technical concepts and model decisions to both technical and non-technical stakeholders
* Maintain compliance with AI Security Control Baseline and federal governance frameworks
* Contribute technical expertise to team initiatives and share knowledge and best practices with team members
*
* Qualifications:

*
*
* Required:

** Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related technical field
* 5+ years of demonstrated AI/ML experience with a proven track record of delivering production AI systems
* Advanced proficiency with machine learning frameworks (Tensor Flow, PyTorch, scikit-learn) and deep learning architectures
* Expert-level Python programming with extensive experience in Pandas, Num Py, and Spark
* Demonstrated experience deploying and maintaining production AI systems at scale
* Experience with on-premise infrastructure, data centers, and physical server environments
* Deep knowledge of explainable AI techniques and model interpretability methods (SHAP, LIME)
* Proven experience developing AI systems that comply with federal governance and ethical standards
* Proficiency with MLOps practices, model versioning, CI/CD pipelines, and workflow orchestration
* Strong communication skills with ability to convey complex technical concepts to diverse audiences
* Active Public Trust clearance or ability to obtain and maintain clearance
* Desired:
** Master's degree or PhD in a related technical field
* Experience with Generative AI, large language models, prompt engineering, and fine-tuning techniques
* Knowledge of AI security, bias detection and mitigation, and adversarial machine learning
* Background in federal law enforcement or intelligence community AI applications
* Expertise in Open-Source Intelligence…