Data Scientist, Senior

The Opportunity:

Are you intrigued by the power of machine learning and generative AI to solve real-world challenges? In today’s data-driven world, we are seeking professionals ready to architect, develop, and deploy scalable, production-ready analytics solutions that transform massive volumes of structured and unstructured data into actionable insights. Join our team to apply your skills in data science, visualization, and UI/UX design to mission-critical intelligence work.

You’ll work side by side with mission partners to understand their objectives and navigate data rich environments. As a key contributor, you will design and operationalize machine learning models, predictive analytics, and web-based tools using both streaming and batch data pipelines. You’ll bring intelligence analysis into the future through agile collaboration and by building interactive visual interfaces that translate the results of advanced AI models into meaningful decisions. We emphasize end-to-end development from rapid prototyping to deployment in cloud-based environments ensuring that your solutions are aligned with current architecture while remaining adaptable for future innovation.

Join us. The world can't wait.

You Have:

• 6+ years of experience in data science, analytics, or machine learning
• Experience with Python for data wrangling, modeling, and visualization, including Pandas, NumPy, Matplotlib, and Seaborn
• Experience developing UI/UX solutions using JavaScript, HTML5, and CSS3
• Experience in object-oriented languages such as Python, Java, C++, or C#
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of cloud platforms such as AWS, Azure, or GCP, including model hosting and containerization such as Docker and Kubernetes
• Ability to build and deploy production-grade models and analytics tools
• TS/SCI clearance with a polygraph
• HS diploma or GED

Nice If You Have:

• Experience working with streaming data technologies such as Apache Kafka and Flink, and distributed systems such as Hadoop and Spark
• Experience with Agile methodologies, automated testing, and DevOps practices
• Experience in open-source databases such as MySQL, PostgreSQL, or SQLite
• Knowledge of intelligence analysis frameworks, operational systems, and tools
• Knowledge of data-centric architecture, including security, scalability, and data governance
• Ability to move analytic prototypes into fully operational mission environments
• Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field such as CS or Data Science preferred; Master’s degree in a STEM field such as CS or Data Science a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.