Air
Senior Data Scientist - Simulation / Optimization
Pittsburgh, Pennsylvania, United States · Senior · Full-time
No sponsorshipDetected 11 days ago
AWSGCPAzureCloud PlatformsMachine LearningDeep LearningData EngineeringData ScienceNLPLLMsAgentic AIMLOpsA/B TestingExcelResearchLeadershipCommunicationMentoringOrganizational Skills
About the role
- Company Description Air is the leader in Enterprise Readiness.
- Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered.
- By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Requirements
- U.S. Citizenship is required
- Possess deep knowledge and the ability to apply techniques such as Discrete Event Simulation (DES), agent based modeling and Monte Carlo methods to model complex capabilities.
- Ability to leverage simulation and optimization knowledge to enhance platforms for complex capability simulation and optimization in critical defense use cases.
- Experience in LLM post-training or fine-tuning
- Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
- Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
- Required Skills:
- Expertise in leveraging deep technical knowledge of AI solution internals (such as Deep Research systems) to design and implement custom, highly optimized solutions.
- Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
Skills
- Minimum of 7 years of professional experience working as a Data Scientist in an industry setting
- Oversee the full lifecycle of large-scale AI projects.
- Deep understanding and application of advanced optimization techniques, specifically including stochastic optimization.
- Deep understanding and practical experience with Bayesian optimization, causal discovery, and causal modeling.
- Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries
- Ensure timely project delivery and strategic goal alignment.
- Define robust software architecture for large-scale AI systems and project roadmaps.
- Translate high-level product requirements into actionable technical plans.
- Drive the implementation of scalable AI/ML platforms.
- Champion innovation and best practices across the organization.
- Foster a high-performing culture of technical excellence and continuous growth.
- Help to the leadership to align AI strategy effectively with client needs.
Company info
- Company Description
- Air is the leader in Enterprise Readiness.
- Our mission is to establish readiness as a real-time condition that is continuously achieved.
- Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers.
Visa & Work Authorization
- Citizenship is required
This listing is sourced directly from Air's careers page and normalized into a canonical job model.