Data Scientist & AI Engineer, Mid

Booz Allen Hamilton • Bethesda, MD

1d • $77,600 - $176,000

About The Position

As a Data Scientist & AI Engineer, you will use data science and artificial intelligence to help clients solve problems and make informed decisions. You will work closely with clients to understand their questions and needs, analyze data-rich environments, and develop algorithms and systems with teammates. The role involves using appropriate tools and frameworks to transform disparate data into useful information and objective answers. Work may span applications of AI and data science across private and public sectors.

The position requires experience with predictive modeling, quantitative analysis, data visualization, AI and machine learning, user-facing data applications, LLM-powered applications and autonomous agents, data pipelines, and AI model evaluation. A Public Trust determination is required, and selected applicants will be subject to a government investigation and may need to meet U.S. government client eligibility requirements.

Booz Allen describes a total compensation package that includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The projected annual compensation range is $77,600 to $176,000. Salary depends on factors including location, qualifications, experience, and organizational and contract requirements.

The position’s workplace type is not specified. The posting describes general expectations for remote, hybrid, and onsite roles, but does not identify this position as any of those types. Candidates should expect identity verification using biometrics and AI, and must be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

Requirements

• At least 3 years of experience using statistical programming languages to develop predictive data models, quantitative analyses, and data visualizations.
• At least 2 years of experience in artificial intelligence, including machine learning, agentic AI, natural language processing, and applied use of large language models.
• Experience with front-end development using React or Python-based frameworks such as Streamlit to build interactive, user-facing data applications.
• Experience with generative AI and agentic AI libraries and frameworks for building LLM-powered applications and autonomous agents.
• Experience writing efficient, clean, maintainable code and using Git, testing, and code reviews to collaboratively develop reliable AI solutions.
• Ability to query, process, and build data pipelines for large, complex datasets using big data technologies.
• Ability to evaluate AI models using appropriate performance metrics, validation methods, and error analyses.
• Bachelor’s degree in Computer Science, Machine Learning, Data Science, Engineering, or Mathematics.
• Public Trust determination is required; selected applicants will be subject to a government investigation and may need to meet U.S. government client eligibility requirements.

Nice To Haves

• Experience with AWS or other cloud services.
• Experience with program automation, CI/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 such as Claude Code, Cursor, or OpenCode.
• Ability to apply experimental design principles to define evaluation criteria, establish baselines, identify appropriate comparison groups, and determine the data and methods needed to assess an AI solution before development begins.
• Master’s degree preferred; doctorate degree is a plus.

Responsibilities

• Work with clients to understand their questions and needs.
• Analyze client data-rich environments to identify useful information.
• Work with teammates to develop algorithms and systems.
• Use tools and frameworks to transform disparate data points into objective answers that support client decision-making.
• Build interactive, user-facing data applications.
• Query, process, and build data pipelines for large, complex datasets.
• Evaluate AI models using suitable performance metrics, validation methods, and error analyses to assess accuracy, robustness, bias, fairness, and fitness for the intended use case.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level