Data Science Manager, Forward Deployed
Air · Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States
About this role
## Company **Air** is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved—closing the gap between what the front line needs and what is delivered. Air’s AI-native platform, **Air Enterprise Readiness**, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. --- ## Role: Data Science Manager, Forward Deployed The **Data Science Manager, Forward Deployed** is responsible for managing the AI model development discipline and team, including: - AI roadmap development - AI/ML model development - Evaluation - Designing models and AI systems for National Security use cases You’ll collaborate cross-functionally with **Product, Sales, and Engineering** to deliver high-quality, decision-grade models and product features. You’ll also work directly with customers to understand their key challenges. This is a full-time role located in **Pittsburgh, PA** or **Arlington, VA**. Travel may be required up to **50%**. --- ## Scope of Responsibilities - Lead and mentor a team of forward-deployed data scientists, AI engineers, and MLE engineers (from ideation through implementation). - Organize complex AI/ML/DS work for multiple clients, including use cases such as **LLM/GenAI, reinforcement learning, decision science, capability simulation, document understanding, and forecast models**—across logistics, MRO, supply chains, and more. - Establish coding, testing, and AI coding best practices and standards. - Oversee AI development for practical deployment use cases by defining AI/ML tool usage and applying scientific methods. - Maintain high standards for deliverables (model delivery, coding, evaluation, and testing). - Translate business requirements into technical specifications with client stakeholders and internal teams. - Drive innovation and process improvements to increase efficiency and team success. - Work with AI platform teams to generalize client-specific AI cases into platform/product features. - Organize and lead processes for the science team to ensure efficient execution and alignment with business goals. --- ## Qualifications ### Required - **U.S. Citizenship** is required - Bachelor’s, Master’s, or Doctorate in **Computer Science, Computer Engineering, Data Science, or related field** - **3+ years** building and deploying ML or LLM-powered systems in production environments - **2+ years** leading or mentoring engineering teams in production environments - Practical experience building, developing, and productionizing machine learning systems - Advanced software skills in **Python** - Experience with common **LLM algorithms and implementations** - Hands-on experience with **AWS** and cloud infrastructure - Familiarity with **Git** source control - Ability to work collaboratively with little supervision - Strong desire to work in a challenging, fast-paced tech environment ### Desired - Current U.S. security clearance, or ability to obtain one with sponsorship - Experience/exposure to startup or entrepreneurial environments - Experience with **Claude Code** and GenAI coding best practices --- ## Closing If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’d love to hear from you. **Air is an Equal Opportunity Employer.** All qualified applicants will receive consideration with
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