Role overview
What sets Davidson apart?
- 100% paid medical benefits - Prioritizing your health and well-being.
- Competitive 401(k) with company match - Investing in your future.
- *Tuition reimbursement - Supporting your professional growth.
Nominated for The Best Place to Work, The Best Workplace for Millennials and voted The Best Place for Working Parents!**
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 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.
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 Secret Clearance or is able to obtain a Secret Clearance
What you'll work on
- 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
What we're looking for
- 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