R&D Data Science Engineer: Predictive Analytics for Defense

The Pennsylvania State University; Ferguson Township (PA); On-site; USD 140,000 - 266,000; Full time

Benefits offered by this job

75% tuition discount

Job summary

The Pennsylvania State University’s Applied Research Laboratory (ARL) seeks a Data Science Research and Development Engineer for the Applied Sustainment Technologies Division in State College, PA. The role develops data science methods and predictive maintenance analytics to improve system reliability and performance, with cross-functional engineering collaboration and customer-ready deliverables.

Responsibilities include building data pipelines, dashboards, and cloud-enabled tools, mentoring

Qualifications

• Strong analytical/engineering problem solving using structured methods.
• Experience in failure analysis, reliability engineering, or predictive analytics.
• Proficiency with Python, R, SQL or similar languages.

Responsibilities

• Lead development of analytic methods including machine learning and anomaly detection.
• Develop reliability and failure models for naval/defense systems.
• Translate technical findings for technical and executive audiences.

Skills

Analytical problem solving

Reliability analytics

Python/ R/ SQL

Cross-functional communication

Team collaboration

Education

Bachelor's degree in Engineering or Science

Graduate degree in Computational Science/Engineering Management/Applied Data Science

Tools

Cloud infra & containers

Job description

The Pennsylvania State University’s Applied Research Laboratory (ARL) seeks a Data Science Research and Development Engineer for the Applied Sustainment Technologies Division in State College, PA. The role develops data science methods and predictive maintenance analytics to improve system reliability and performance, with cross-functional engineering collaboration and customer-ready deliverables.

Responsibilities include building data pipelines, dashboards, and cloud-enabled tools, mentoring