Defense Data Analyst - AI/ML & System Insights

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) seeks a Data Analyst to evaluate system performance and support the Engagement Optimization Group in developing data-driven strategies for defense applications. The role focuses on analyzing data to improve combat system design and driving automated tooling for rapid insights.

You will present findings to sponsors and engineering communities, contribute to next-generation capabilities, and may grow into a leadership role coordinating

Qualifications

• BS or MS in Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science, or related field.
• Experience programming and scripting in MATLAB or Python.
• Demonstrate strong communication skills.
• Thrive in a collaborative environment, including work with multi-disciplinary teams and multiple organizations.
• Eligible to obtain Interim Secret (and ultimately Secret) clearance; US citizenship required.

Responsibilities

• Analyze data to identify and implement improvements to combat system design.
• Build, maintain, and improve automated tools for rapid analysis of large data sets from complex operational systems.
• Drive design features and provide technical recommendations based on analysis.
• Deliver presentations to sponsors and engineering groups, communicating concepts, results, and recommendations.

Skills

MATLAB

Python

Communication skills

Collaboration

Security clearance eligibility

Education

BS or MS in Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science, or related field

Job description

Johns Hopkins University Applied Physics Laboratory (APL) seeks a Data Analyst to evaluate system performance and support the Engagement Optimization Group in developing data-driven strategies for defense applications. The role focuses on analyzing data to improve combat system design and driving automated tooling for rapid insights.

You will present findings to sponsors and engineering communities, contribute to next-generation capabilities, and may grow into a leadership role coordinating