Data Scientist / Principal Investigator at CACI International | CO, US | Rezi

Data Scientist / Principal Investigator at CACI International

Data Scientist / Principal Investigator

CACI International · CO, US

1 weeks ago

Data Scientist / Principal Investigator

CACI International · CO, US

8 days ago
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About the Role

CACI is seeking a staff-level Data Scientist/Researcher to serve as a Principal Investigator and Technical Leader in their Denver, CO AI/ML Research and Integration Team. This is a hands-on role for someone who can shape ambitious research, lead teams through technical uncertainty, and turn promising prototypes into secure, scalable capabilities with measurable mission and business impact.

Responsibilities

  • Serve as Principal Investigator and technical lead for a portfolio of applied AI research efforts; define research questions, technical approaches, milestones, evaluation plans, risks, and transition criteria.
  • Identify and shape new research opportunities with technical leaders, customers, business development teams, and program organizations; contribute to white papers, proposals, technical volumes, estimates, and funding briefings.
  • Remain hands-on: design experiments, build prototypes, review code and models, troubleshoot difficult technical issues, and establish credible technical baselines.
  • Architect end-to-end AI systems that integrate models, data pipelines, APIs, search or retrieval services, orchestration, user applications, and deployment infrastructure.
  • Translate ambiguous mission or business needs into executable research plans and make sound build, buy, adapt, and reuse decisions under incomplete information.
  • Lead cross-functional teams of data scientists, software engineers, platform engineers, domain experts, and user-experience practitioners; delegate effectively while maintaining accountability for technical quality and outcomes.
  • Develop other technical staff through mentoring, design and code reviews, modeling guidance, constructive feedback, and clear engineering expectations.
  • Drive the transition of successful prototypes into secure, maintainable, production-grade capabilities by applying modern software engineering, MLOps, CI/CD, testing, documentation, and artifact-management practices.
  • Establish rigorous and reproducible evaluation methods, including appropriate baselines, quantitative and qualitative metrics, error analysis, operational constraints, and responsible-AI considerations.
  • Communicate complex technical work clearly to technical and nontechnical audiences through demonstrations, reports, roadmaps, decision briefings, and customer engagements.
  • Track relevant advances in commercial and open-source AI, assess their applicability and risk, and turn useful discoveries into reusable architectures, components, and practices for teams across the company.

Requirements

  • Must be a U.S. citizen
  • Bachelor's degree in computer science, data science, statistics, mathematics, engineering, or another relevant technical or quantitative discipline. An equivalent combination of education and experience may be considered.
  • Minimum of 7 years of professional experience.
  • Demonstrated experience serving as a Principal Investigator, research lead, technical lead, lead architect, or comparable role with responsibility for technical scope, team execution, risk, and outcomes.
  • Deep practical experience applying machine learning to real-world problems, with significant depth in two or more areas such as generative AI/LLMs, NLP, computer vision, information extraction, recommender systems, graph or semantic methods, supervised or unsupervised learning, or reinforcement learning.
  • Strong Python skills and experience with modern AI/ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or comparable tools.

Skills

  • AI/ML
  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation
  • Natural Language Processing (NLP)
  • Computer Vision
  • Information Extraction
  • Recommender Systems
  • Knowledge Graphs
  • Agentic Systems
  • MLOps
  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face

Location

  • Denver, CO

Work Type

  • Full time
  • Not a remote position

Experience Level

  • Staff-level
  • Principal Investigator
  • Technical Leader
  • 7 years of professional experience

Education Level

  • Bachelor's degree in computer science, data science, statistics, mathematics, engineering, or another relevant technical or quantitative discipline

Salary/Compensations

  • $108,400 - 227,500 USD

Benefits

  • Flexible time off
  • Robust learning resources
  • Healthcare
  • Wellness
  • Financial
  • Retirement
  • Family support
  • Continuing education
  • Time off benefits

About the Company

  • CACI's IRAD team researches and develops mission-focused AI and software solutions supporting Defense, National Security, Intelligence, and other customers.
  • We work at the intersection of applied research and product delivery—identifying high-value problems, testing new approaches, building working systems, and partnering with delivery organizations to transition successful capabilities into operational use.
  • A culture of integrity.
  • At CACI, we place character and innovation at the center of everything we do.
  • An environment of trust.
  • CACI values the unique contributions that every employee brings to our company and our customers - every day.
  • 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.

Equal Opportunity

  • 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.