Booz Allen is seeking professionals to architect, develop, and deploy scalable, production-ready analytics solutions that transform massive volumes of structured and unstructured data into actionable insights for mission-critical intelligence work.
Requirements
- 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 crafting prompts for Gen AI Large Language Models (LLM)
- Experience developing UI/UX solutions using JavaScript, HTML5, or CSS3
- Experience in object-oriented languages such as Python, Java, C++, or C-Sharp
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Knowledge of cloud platforms such as AWS, Azure, and GCP, model hosting, or containerization such as Docker and Kubernetes
Responsibilities
- architect, develop, and deploy scalable, production-ready analytics solutions
- design and operationalize machine learning models, predictive analytics, and web-based tools using both streaming and batch data pipelines
- build interactive visual interfaces that translate the results of advanced AI models into meaningful decisions
- end-to-end development from rapid prototyping to deployment in cloud-based environments
- ensure that your solutions are aligned with current architecture while remaining adaptable for future innovation
- Experience with Python for data wrangling, modeling, and visualization, including Pandas, NumPy, Matplotlib, and Seaborn
- Experience crafting prompts for Gen AI Large Language Models (LLM)
Other
- TS/SCI clearance with a polygraph
- HS diploma or GED
- Ability to build and deploy production-grade models and analytics tools within a team construct
- 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
