Data Scientist & AI Engineer, Mid
About The Position
As a Data Scientist & AI Engineer, you will use analytical skills to help create real-world impact. You will work closely with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems with teammates. You will use 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 business and public-sector challenges, including predictive modeling and AI-powered applications. Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The position requires the ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements. Booz Allen offers health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Its recognition awards program acknowledges exceptional performance and demonstration of company values. The projected annualized compensation range is $77,600 to $176,000, with actual salary determined by factors including location, education, skills, experience, contract affordability, and organizational requirements. The posting will close within 90 days from the Posting Date.
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 with appropriate performance metrics, validation methods, and error analyses to assess accuracy, robustness, bias, fairness, and fitness for intended use.
- 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 comparison groups, and determine data and methods for assessing an AI solution before development.
- Master’s degree preferred; doctorate degree is a plus.
Responsibilities
- Work with clients to understand their questions and needs.
- Analyze data-rich environments and identify useful information in complex datasets.
- Develop algorithms and systems in collaboration with teammates.
- Use tools and frameworks to transform disparate data into objective answers that support informed client decisions.
- Develop predictive data models, quantitative analyses, and data visualizations.
- Build interactive, user-facing data applications.
- Build LLM-powered applications and autonomous agents.
- Query, process, and build data pipelines for large, complex datasets.
- Evaluate AI models using suitable performance metrics, validation methods, and error analyses, assessing accuracy, robustness, bias, fairness, and fitness for intended use.
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards for exceptional performance and demonstration of company values
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
