Booz Allen Hamilton offers a comprehensive benefits package, ongoing professional development, and a culture centered on meaningful, impactful work. This onsite role in Arlington, VA features a salary range of USD 99,000 to 225,000 per year and requires a Bachelor's degree. You will design, develop, and deploy ML and AI capabilities that translate client needs into production-ready data systems.
Responsibilities
- Design, develop, and deploy machine learning and AI capabilities for real world use.
- Turn data into operational systems by building algorithms, training models, and delivering scalable solutions.
- Collaborate with clients to understand mission needs and translate them into technical outcomes.
- Build end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment.
- Apply a blend of statistical methods, ML, and software engineering to deliver complete solutions.
- Move from analysis to robust, maintainable AI and ML systems with measurable impact.
Requirements
- Experience developing ML or AI algorithms and applying pre-built models.
- Experience deploying ML and AI solutions into production or operational environments.
- Experience designing end-to-end ML pipelines with data ingestion, training, evaluation, and deployment.
- Production-quality programming in Python.
- Experience working with structured and unstructured data at scale.
- Experience applying optimization, simulation, or advanced ML methods.
- Experience in Linux-based or cloud-based environments.
- Proficiency with modern software engineering practices such as Git, testing, and CI/CD.
- Ability to obtain a Secret clearance.
- Bachelor's degree.
Technologies
- Python
- Linux
- Docker
- Kubernetes
- Spark
- Kafka
- Git
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
The Opportunity
As a data scientist, you will build intelligent systems rather than merely analyze data. You will design, develop, and deploy ML and AI capabilities that operate in real-world environments, transforming vast amounts of structured and unstructured data into usable, production-ready solutions. You will work closely with clients to interpret mission needs and translate them into concrete technical outcomes, deploying models and data pipelines into production. You will apply a mix of statistical methods, ML techniques, and software engineering to deliver end-to-end solutions and create robust, maintainable AI and ML systems with measurable impact.
NICE IF YOU HAVE
- Experience with deep learning, reinforcement learning, or advanced AI methods.
- Experience building or fine-tuning custom models.
- Experience with containerization and deployment tools such as Docker and Kubernetes.
- Experience with distributed data processing tools like Spark and Kafka.
- Experience integrating ML and AI capabilities into larger software systems.
- Experience with optimization frameworks or simulation-based modeling.
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
Salary ranges from USD 99,000 to 225,000 per year, complemented by Booz Allen's comprehensive benefits and a focus on total well-being.
Identity and AI policies
Identity verification using advanced biometrics and AI may be required during the hiring process, including camera presence during interviews. Booz Allen reserves the right to capture your photograph to verify identity and prevent fraud. The use of AI tools during interviews is restricted unless explicit permission is provided.
Work model
- Onsite: work primarily at a Booz Allen or customer facility.
- Hybrid: frequent facility work with some remote flexibility, aligned to role needs.
- Remote: potential for remote work with in-person requirements as needed.
Commitment to non-discrimination
All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by law.
