The Opportunity:
As a data scientist, you’re excited about building intelligent systems, not just analyzing data. You’re motivated to design, develop, and deploy machine learning and AI-driven capabilities that operate in real-world environments. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you’ll transform these data into operational systems by developing algorithms, training models, and deploying solutions that perform reliably at scale.

On our team, you’ll work closely with clients to understand mission needs and translate them into technical solutions. You’ll design and implement machine learning models, build supporting data pipelines, and deploy capabilities into production environments. You’ll apply a mix of statistical methods, machine learning, and software engineering to deliver end-to-end solutions. You’ll help move beyond analysis to create robust, maintainable AI/ML systems that deliver measurable impact.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:   

• 5 years of experience developing machine learning or AI algorithms and applying pre-built models

• 5 years of experience building and deploying ML/AI solutions into production or operational environments

• 5 years of experience designing and implementing end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment

• Experience writing production-quality code in Python or similar languages

• Experience working with structured and unstructured data at scale

• Experience applying techniques such as optimization, simulation, or advanced machine learning methods

• Experience working in Linux-based or cloud-based environments

• Experience using modern software engineering practices, such as Git, testing, or CI/CD

• Ability to obtain a Secret clearance

• Master's degree in Mathematics, Engineering, or STEM field

Nice If You Have:   

• Experience with deep learning, reinforcement learning, or advanced AI techniques

• Experience building or fine-tuning custom models

• Experience with containerization and deployment tools, such as Docker and Kubernetes

• Experience with distributed data processing tools, such as Spark and Kafka

• Experience integrating ML/AI capabilities into larger software systems

• Experience with optimization frameworks or simulation-based modeling

• Experience working with Department of War customers

• Experience communicating complex technical concepts to non-technical stakeholders

• TS/SCI clearance

• Doctorate degree in Mathematics, Engineering, or STEM field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.