R&D Engineer – Data-Driven System Sustainment

Penn State University; University Park (TX); On-site; USD 140,004 - 265,704; Full time

Benefits offered by this job

75% tuition discount

Job summary

Penn State University’s Applied Research Laboratory (ARL) is seeking a highly analytical Research and Development Engineer to lead data science methods and predictive maintenance analytics for Navy and DoD projects. You will build analytics, dashboards, and data pipelines, and mentor multidisciplinary teams in a collaborative, mission-focused environment.

Initial on-site training in State College, PA, followed by hybrid work on project needs.

Qualifications

• Bachelor's Degree in Engineering or Science with 19+ years of relevant experience.
• Alternatively, Senior Professional requires 14+ years of relevant experience.

Responsibilities

• Lead development of analytic methods including machine learning, anomaly detection, predictive maintenance models, and network or system-level analyses.
• Develop and evaluate reliability and failure models for naval or defense-related systems.
• Translate complex technical findings into clear, actionable recommendations for technical and executive audiences.
• Build, validate, and document data pipelines, analytic tools, dashboards, and modernization processes, including cloud-based environments (AWS/GCP/Azure).
• Engage with cross-functional engineering teams to support system readiness assessments, configuration analysis, and engineering change evaluations.
• Contribute to research proposals, technical reports, and customer deliverables.
• Provide mentorship, technical guidance, and collaboration across multidisciplinary project teams.

Skills

Machine learning

Predictive analytics

Python

SQL

Reliability engineering

Analytical problem solving

Education

Bachelor's Degree in Engineering or Science

Tools

AWS

GCP

Azure

Job description

Penn State University’s Applied Research Laboratory (ARL) is seeking a highly analytical Research and Development Engineer to lead data science methods and predictive maintenance analytics for Navy and DoD projects. You will build analytics, dashboards, and data pipelines, and mentor multidisciplinary teams in a collaborative, mission-focused environment.

Initial on-site training in State College, PA, followed by hybrid work on project needs.