Applied Data Scientist

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. You will 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 and help move beyond analysis to create robust, maintainable AI/ML systems that deliver measurable impact.

• 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 a STEM field

• 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 a STEM field

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

Projected annual salary range: $99,000.00 to $ (USD). Compensation may also include benefits and other components as part of the total package.

Our people‑first culture prioritizes collaboration. For virtual work, cameras are expected during meetings.

• Remote
  :
  If 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 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 listed as onsite, work will primarily be performed at a Booz Allen office or customer facility.

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.

This posting will close within 90 days from the posting date.