Data Science Lead - Defense Accounts

Role Description

We are seeking an inquisitive Forward Deployed Data Scientist with deep expertise in Artificial Intelligence and a sophisticated understanding of complex Defense Acquisition challenges. You will work with proprietary and commercial datasets to uncover critical connections, derive actionable knowledge, and identify potential risks that help government leaders make mission-critical decisions.

Your role involves designing, developing, and rapidly deploying scalable AI solutions that transform data into strategic capabilities. You must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.

The ideal candidate is a highly organized problem-solver and a "scrappy" out-of-the-box thinker. You lead by influence, possess an intolerance for mediocrity, and are motivated to roll up your sleeves to produce simple, impactful solutions to complex problems.

Responsibilities

• AI Innovation: Develop and deploy new AI methods and systems to solve complex defense challenges.
• Rapid Prototyping: Build AI models, heuristics, and agentic solutions from the ground up.
• Client Engagement: Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements.
• End-to-End Ownership: Take full accountability for client problems, from initial discovery to deploying production code into AI systems.
• Cross-Functional Collaboration: Partner with AI platform and data engineering teams to build end-to-end production solutions.
• Generalization: Wrap specific Data Science solutions into reusable agentic AI frameworks and features for broader deployment.
• Agentic Systems: Create agentic AI systems using AI orchestrators and advanced reasoning capabilities.

Qualifications

• U.S. Citizenship is required.
• Proven ability to embed with clients, understand vague national security challenges, and translate them into concrete technical documentation for multiple teams.
• Expertise in rapidly prototyping agentic solutions and deploying production-grade code.
• Experience evaluating, tuning, and measuring the real-world impact of AI/DS solutions.
• Competency in building agent skills to solve specific problems and integrating those solutions into broader frameworks.
• Strong ability to communicate complex concepts clearly to both technical and non-technical users.

Nice-to-Haves

• A strong publication record in top AI, ML, NLP, or Decision Science conferences.
• Deep knowledge of LLM and Agentic system evaluation.
• Expertise in Operations Research, Optimization, or Decision Science.
• A track record of successfully transitioning research prototypes into robust, production-grade enterprise solutions.