Data Scientist - AI/mL Specialist

Posted 9 Days Ago
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Fairfax, VA, USA
In-Office
94K-198K Annually
Senior level
Information Technology • Consulting • Defense
The Role
Design, deploy, and maintain production-grade, explainable AI/ML systems for federal investigative use. Build scalable data pipelines, models (entity resolution, network analysis, anomaly detection), and MLOps/CI-CD workflows. Ensure federal governance, auditability, security, and data provenance; integrate AI into investigative systems and support ATO and risk management. Collaborate with cross-functional teams and communicate technical decisions to stakeholders.
Summary Generated by Built In
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 (TensorFlow, PyTorch, scikit-learn) and deep learning architectures
  • Expert-level Python programming with extensive experience in Pandas, NumPy, 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 (OSINT) analysis and cyber threat intelligence
  • Proficiency with Elasticsearch, Kibana, graph databases, and investigative analytics platforms
  • Familiarity with federal AI policies including Executive Orders 13960/14110, OMB guidance, and DHS/ICE directives
  • Experience with real-time streaming analytics and Change Data Capture (CDC)

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.

What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$94,400 - $198,200

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Skills 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 (TensorFlow, PyTorch, scikit-learn) and deep learning architectures
  • Expert-level Python programming with extensive experience in Pandas, NumPy, 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
  • Experience developing scalable data pipelines and ETL processes (e.g., Apache Airflow)
  • Strong communication skills with ability to convey complex technical concepts to diverse audiences
  • Active Public Trust clearance or ability to obtain and maintain clearance (U.S. citizenship required)
  • 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 (OSINT) analysis and cyber threat intelligence
  • Proficiency with Elasticsearch, Kibana, graph databases, and investigative analytics platforms
  • Familiarity with federal AI policies (Executive Orders, OMB guidance, DHS/ICE directives)
  • Experience with real-time streaming analytics and Change Data Capture (CDC)

CACI International Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.

  • Healthcare Strength Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
  • Leave & Time Off Breadth Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
  • Retirement Support Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.

CACI International Inc Insights

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The Company
HQ: Reston, VA
17,673 Employees
Year Founded: 1962

What We Do

CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.

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