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Sr. Data Scientist, HSV, AL; Contingent upon Award

Job in Huntsville, Madison County, Alabama, 35824, USA
Listing for: Davidson Technologies
Full Time position
Listed on 2026-01-26
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
  • Engineering
    AI Engineer
Job Description & How to Apply Below
Position: Sr. Data Scientist, HSV, AL (Contingent upon Award)

Overview

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.

What sets Davidson apart?

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.

Job Title and Location

Senior Data Scientist — Huntsville, Alabama

Overview

Davidson is seeking a Senior Data Scientist to design, build, and deploy ML systems to control and optimize VLF transmissions. Using 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 AI/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 AI/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

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