Job Number: R0242962 Applied Data Scientist
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 develop ing 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 met hods, machine learning, and sof tware engineering to deliver end-to-end solutions. You'll help move beyond analysis to create robust, maintainable AI and 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: - Experience develop ing machine learning or AI algorithms and applying pre-built models
- Experience building and deploying ML and AI solutions into production or operational environments
- Experience designing and implementing end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment
- Experience writing production-quality code in languages, such as Python
- Experience working with structured and unstructured data at scale
- Experience applying techniques such as optimization, simulation, or advanced machine learning met hods
- Experience working in Linux-based or cloud-based environments
- Experience using modern sof tware engineering practices, such as Git, testing, or CI / CD
- Ability to obtain a Secret clearance
- Bachelor's degree
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 and AI capabilities into larger sof tware systems
- Experience with optimization frameworks or simulation-based modeling
- Experience working with DoW customers
- Experience communicating complex technical concepts to non-technical stakeholders
- TS/SCI clearance
Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .
CompensationAt 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.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity StatementAs 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 PolicyAI 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 ModelOur 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-DiscriminationAll 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.
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