Senior Data Scientist/Machine Learning Engineer in Huntsville, Alabama to design, build, and deploy ML systems to control and optimize VLF transmissions. Using your experience with applied ML, real-time systems, and physical domain modeling, you will work closely with RF engineers, software engineers, and end customers to develop an intelligent Al/ML stack that monitors environmental conditions, predicts signal propagation impacts, and supports dynamic adjustments of transmission parameters to maintain signal stability and performance. You will take models from concept through production deployment (MLOps) and ensure they operate reliably in mission-critical environments. *Contingent Upon Award* Job Responsibilities: - Develop ML models to leverage weather and environmental data feeds for disaster event prediction - Build predictive models to improve preventative maintenance capabilities - Help to integrate models into decisions systems that optimize transmission system operations and performance - Translate model outputs into actionable, explainable recommendations - Collaborate with engineering team (RF, Systems, Software) to deploy models into real-time production systems - End-to-end ML lifecycle management using MLOps best practices - Communicate complex technical concepts clearly to engineers and customers - Contribute to system architecture decisions for scalable/reliable Al/ML solutions Job Requirements: - Bachelor's degree or higher in Data Science, Computer Science, Engineering, Physics or related field - 8+ years of experience in applied data science or machine learning roles - Strong foundation in machine learning and statistical modeling - Demonstrable experience translating stakeholder requirements into technical ML strategies that deliver tangible customer value - Hands-on experience deploying ML models into production environments - Practical experience with MLOps (model pipelines, monitoring, reproducibility) - Must be a U.S. citizen Preferred Qualifications: - Familiarity with RF systems, signal propagation, or electromagnetic modeling - Familiarity with surrogate modeling of physics-based systems, such as weather - Familiarity with predictive maintenance (CBM+) - Experience integrating ML into real-time systems Clearance: - Currently holds an Active DoD Secret Clearance or is able to obtain a Secret Clearance