The Opportunity:

As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your AI and machine learning knowledge and consulting expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to steer complex data exploration and analytics projects through your experience with programming languages such as Python and Embedded C, operationalizing models, containerization, data architecture, and cloud computing platforms for Army applications.

As an advanced data scientist or researcher on our Maritime and Ground Market team, you’ll learn and apply innovative AI and machine learning methodologies to make a real-world impact on how these projects “change the world”, including making time-sensitive policy decisions. You’ll grow your skills in data science, AI, machine learning, operationalization, and predictive modeling, and shape the future of analytics through a variety of means like patents, peer-reviewed papers, major conference presentations, and code submissions. 

We’ll keep you sharp and moving forward in your career, with access to online courses and the latest tools and methods, and opportunities to develop industry-facing publications and presentations. You’ll collaborate with a team that serves critical missions from end-to-end.

Join us. The world can’t wait.

You Have:  

• Experience driving end-to-end computer vision research and development, moving prototypes toward operational applications
• Experience partnering across engineering and research groups to mature algorithms, define interfaces, and harden training or inference pipelines for deployment
• Experience formulating agentic AI as new fundamental research, including surveying, scoping the problem space, and defining research questions with evaluation criteria
• Knowledge of hierarchical classification, 2D-3D representation, deep learning, Agentic AI, multi-view geometry, and synthetic data generation
• Ability to obtain a Secret clearance
• Doctorate degree in Electrical Engineering

Nice If You Have:  

• Experience establishing evaluation protocols such as benchmarks, ablations, and error analyses
• Knowledge of domain adaptation, multi-modal models, and robust pose estimation
• Secret clearance  

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.