The Opportunity:  

Are you ready to embark on a journey where your skills in data and artificial intelligence will drive innovation and propel businesses into the future? Are you fascinated by the possibilities presented by artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As an aspiring data scientist AI engineer, you know you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection to cancer research, to national intelligence — you see data scientists turning data into actions and you want to be part of the team. 

As a data scientist on our team, you’ll use your analytical skills to help create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll work with and learn from your teammates as you develop algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. If you are driven by curiosity, thrive in a fast-paced setting, and have a deep fascination with the potential of AI, this is the place where you can make a significant impact. Join us, and be part of a team that's not only shaping the future but also pushing the boundaries of what's possible. 

Join us. The world can’t wait.  

You Have:   

• 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, 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 to assess accuracy, robustness, bias, fairness, and fitness for the intended use case
• Public Trust

• Bachelor's degree in Computer Science, Machine Learning, Data Science, Engineering, or Mathematics

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 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 a plus

Vetting:

Applicants selected 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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will 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.