At Booz Allen Hamilton, you will apply data science and AI engineering to deliver practical solutions for clients, translating complex, data-rich environments into answers that support decisions in the real world. In this mid-level role based in Bethesda, MD (onsite), you will focus on predictive modeling, machine learning and large language models, and the evaluation of AI systems, including interactive user-facing applications.
What you will do
- Partner with clients to understand questions and needs, then work through their information landscape to identify the key pieces.
- Design algorithms and systems that convert disparate data into objective outputs that clients can use for informed decisions.
- Apply analytical skills to drive real-world impact through AI and data solutions.
- Use the right combination of tools and frameworks to turn sets of data into objective answers for decision-making.
What you need
- 3+ years of experience using statistical programming languages to build predictive data models, quantitative analyses, and data visualizations.
- 2+ years of experience in Artificial Intelligence, including Machine Learning, Agentic AI, Natural Language Processing, and applied use of Large Language Models.
- Experience building front-end, user-facing data applications using React or Python-based frameworks such as Streamlit.
- Experience working with generative AI and agentic AI libraries and frameworks for LLM-powered applications and autonomous agents.
- Proficiency writing efficient, clean, and maintainable code, including use of Git, testing, and code reviews to support reliable AI development.
- Ability to query, process, and build data pipelines for large, complex datasets using big data technologies.
- Experience evaluating AI models with performance metrics, validation methods, and error analyses to assess accuracy, robustness, bias, fairness, and fit for intended use.
- Public Trust requirements.
- Bachelor’s degree in Computer Science, Machine Learning, Data Science, Engineering, or Mathematics.
Technologies
- React
- Python
- Streamlit
- Git
- Large Language Models
- Natural Language Processing
Nice if you have
- Experience with AWS or other cloud services.
- Experience with program automation, CI and CD, DevSecOps, or Agile.
- Experience with healthcare or medical device industry data.
- Experience with Agile methodologies and best practices.
- Experience using AI-assisted development tools like Claude Code, Cursor, or OpenCode.
- Ability to apply experimental design principles to set evaluation criteria, define baselines, establish comparison groups, and determine data and methods needed to assess an AI solution before development begins.
- Master’s degree preferred; Doctorate degree a plus.
Vetting and eligibility
- Selected applicants will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
- Public Trust determination is required.
Compensation
The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).
Additional screening and policies
- Applicants are expected to be on camera during interviews and assessments, and the company may take your picture to verify identity and prevent fraud.
- The use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.
Work model
This position is onsite, with work primarily performed full-time at a customer facility. Employees collaborate directly with colleagues and customers as required by the role.
Commitment to non-discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
