Data Scientist & AI Engineer, Mid

Booz Allen Hamilton • Bethesda, MD

1d • $77,600 - $176,000 • Hybrid

About The Position

As a Data Scientist & AI Engineer, you will use analytical skills to create real-world impact by working closely with clients to understand their questions and needs, examining data-rich environments, and developing algorithms and systems with teammates. You will select appropriate tools and frameworks to turn disparate data into objective answers that help clients make informed decisions. The role focuses on applying data science and AI to complex challenges across private and public sectors.

Requirements

• 3+ years of experience leveraging statistical programming languages to develop 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 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, and 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.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or Mathematics.

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, needs, and data challenges.
• Analyze complex data environments to identify useful information.
• Develop algorithms and systems with teammates.
• Use appropriate tools and frameworks to transform disparate data into objective answers that support client decision-making.
• Develop predictive data models, quantitative analyses, and data visualizations.
• Build interactive, user-facing data applications.
• Query, process, and build data pipelines for large, complex datasets.
• Evaluate AI models for accuracy, robustness, bias, fairness, and fitness for intended use.

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