> Markdown version of [/jobs/ext/1922329-ai-and-ml-data-scientist](https://www.wearedevelopers.com/jobs/ext/1922329-ai-and-ml-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI and ML Data Scientist - **Company:** Booz Allen Hamilton Inc. - **Location:** McLean, VA, United States - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, CompTIA Security+, Cyber Security, Nvidia CUDA, Continuous Integration, Information Engineering, Data Security, Distributed Data Store, Elasticsearch, Apache Hadoop, Apache Hive, Information Retrieval, Data Intelligence, Python (Programming Language), Machine Learning, Metadata, Natural Language Processing, Power BI, Software Safety, Search Technologies, Software Engineering, Systems Integration, Tableau (Software), Unstructured Data, Google Cloud, High Performance Computing, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Model Validation, Electronic Medical Records, Git, Fastapi, Scikit Learn, Kubernetes, HuggingFace, Plotly, Apache Kafka, Machine Learning Operations, Virtual Agents, Api Design, Restful APIs, Streamlit Framework, Data Pipelines, Devsecops, Docker, Databricks, Microservices, Data Generation - **Published:** August 4, 2026 - **Apply:** https://justjobs.com/main/sendform/8/8/28176/1/17297713?backUrl=%2Fcareer%2F17297713%2FAi-Ml-Data-Scientist-Virginia-Mclean ## About the Role * Experience developing, integrating, or evaluating AI, ML, NLP, LLMs, or agentic AI capabilities for mission, operational, or enterprise use cases, and building AI-enabled applications using Python and modern AI/ML libraries or frameworks, including PyTorch, Scikit-Learn, LangChain, LlamaIndex, Hugging Face, or CUDA * Experience developing agentic AI systems, including autonomous or semi-autonomous agents, tool-using agents, multi-step reasoning workflows, task orchestration, retrieval-augmented generation, or human-in-the-loop AI capabilities * Experience analyzing, processing, and integrating structured and unstructured data sources, including intelligence data such as text, reports, messages, metadata, documents, or geospatial data * Experience designing, testing, validating, or evaluating AI/ML systems, including model performance, accuracy, relevance, robustness, hallucination mitigation, or mission-aligned evaluation criteria * Experience supporting military intelligence, defense intelligence, all-source analysis, targeting, indications and warning, collection management, operations intelligence, or national security missions, and developing AI systems for classified, air-gapped, secure, or operationally constrained environments * Experience with prompt engineering, prompt evaluation, model benchmarking, fine-tuning, synthetic data generation, or LLM application development * Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling, classification models, model evaluation, and data quality assessment * Ability to translate military intelligence mission requirements into technical AI solutions, prototypes, and production-ready capabilities * TS/SCI clearance * Bachelor's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, or Statistics Nice If You Have: * Experience with distributed data, cloud, or high-performance computing tools, including Spark, Kafka, Hadoop, Hive, EMR, Databricks, Kubernetes, Docker, OpenSearch, Elasticsearch, or similar technologies * Experience developing APIs, microservices, analytic interfaces, dashboards, or production software using FastAPI, Flask, REST services, Git, CI/CD, DevSecOps, Plotly, Dash, Streamlit, Tableau, or Power BI * Knowledge of intelligence tradecraft, analytic standards, military operations, Joint or Combatant Command environments, the intelligence cycle, AI safety, model governance, responsible AI, explainability, auditability, access control, or data security * Ability to collaborate with analysts, engineers, data owners, security teams, and mission stakeholders to deploy AI-enabled capabilities in operational environments * TS/SCI clearance with a polygraph * Master's degree in Data Science, CS, AI, ML, Engineering, Operations Research, Applied Mathematics, Statistics, or a related field * AI, ML, Cloud Computing, Data Engineering, Cybersecurity, or DevSecOps Certification such as AWS, Azure, Google Cloud, Databricks, Kubernetes, Security+, or similar Certification ## Description As an Agentic AI Engineer and Data Scientist for military intelligence, you're excited by the opportunity to design, develop, and deploy advanced AI systems that help analysts transform complex, fragmented information into actionable intelligence. You understand the possibilities created by large language models (LLMs), machine learning (ML), natural language processing (NLP), autonomous workflows, and multi-agent architectures, and you want to apply them to mission-critical national security challenges. In today's contested and information-rich operating environment, military intelligence teams must rapidly make sense of large volumes of structured and unstructured data from multiple sources, formats, and domains. As an AI professional at Booz Allen, you'll help build intelligent systems that support intelligence discovery, analysis, prioritization, reporting, and decision advantage for defense and national security clients. On our team, you'll use your AI, data science, and software development skills to create real-world mission impact. You'll work closely with clients, analysts, engineers, and mission stakeholders to understand operational needs, identify high-value use cases, and develop agentic AI capabilities that can reason over data, orchestrate workflows, retrieve relevant information, generate analytic products, and support human-in-the-loop decision-making. You'll design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes. You'll help ensure these systems are reliable, explainable, secure, testable, and aligned to operational requirements. Ultimately, you'll help military intelligence organizations use AI responsibly and effectively to accelerate insight, improve analytic tradecraft, and support informed decisions. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)