Sr. Data Scientist/Machine Learning Engineer- Huntsville, Alabama

Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation.

Davidson is seeking a 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