Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist / Principal Investigator role.
Rezi rewrites your resume against CACI's job description. Free.

Tailor your resume to this Data Scientist / Principal Investigator role.
Rezi rewrites your resume against CACI's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist / Principal Investigator posting at CACI — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Data Scientist / Principal Investigator posting at CACI — free, in seconds.
About the Role
CACI is seeking a staff-level Data Scientist/Researcher to serve as a Principal Investigator and Technical Leader in our 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
- Minimum of 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. An equivalent combination of education and experience may be considered.
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.
- 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.
- 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
- 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.