Data and Analytics Engineer

Job Overview

The Project Management Office for Aircraft Survivability Equipment (PMO ASE) is seeking a highly motivated and analytical Data and Analytics Engineer. This role is critical to the development, testing, and fielding of advanced survivability systems that protect Army aviators and rotary‑wing aircraft from emerging global threats.

The successful candidate will leverage deep technical expertise in engineering, physics, optics, and statistical analysis to evaluate sensor performance, countermeasure effectiveness, and overall system reliability. Extensive travel is required to government test ranges, contractor facilities, and military installations to participate in test events, oversee data collection, and provide analytical and forensic insights to inform decision‑makers.

US‑AL‑Huntsville

• Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared countermeasures).
• Apply principles of physics and optics to evaluate the performance of electro‑optical/infrared sensors, laser warning receivers, and directed energy countermeasures against simulated and live threats.
• Travel to support developmental and operational testing. Ensure data collection methodologies are sound and maintain data pipelines from test events.
• Analyze and validate threat detection algorithms, tracking software, and countermeasure dispensing logic using historical and newly collected test data.
• Develop data visualization dashboards and comprehensive technical reports to communicate system performance, anomalies, and risk assessments to PM ASE leadership and stakeholders.
• Work closely with systems engineers, flight test crews, software developers, and industry partners to translate data insights into actionable system improvements.

• Education:
  
  Bachelor of Science (B.S.) or higher degree in Engineering (e.g., Aerospace, Electrical, Optical, Systems, or a closely related discipline) from an ABET‑accredited institution + 2 years of experience.
• Clearance:
  Active Secret clearance or the ability to receive one.
• Technical
  
  Skills:
  
  Proficiency with data analysis and scientific computing tools (Python, MATLAB, R, or similar) to process large datasets, perform statistical modeling, and generate visualizations.
• Travel Capability:
  Willingness and ability to travel nationwide to support test events, often in remote field environments.
• Communication:
  Excellent written and verbal communication skills, with the ability to distill complex mathematical and physical concepts into clear, actionable briefings for leadership.

Target salary range: $80,000 – $128,000, commensurate with experience, education, and qualifications. The range may include overtime, shift differential, and discretionary bonus opportunities.

Equal opportunity employer, including disability and protected veterans, and other characteristics protected by law.