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Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

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POSITION SPECIFICS​

We are searching for a highly analytical, systems‑focused Data Science Research and Development Engineer to join the Applied Sustainment Technologies Division at the Applied Research Laboratory (ARL) at Penn State. Our division supports mission‑critical research for the Navy and other federal sponsors, advancing data-driven decision tools, predictive models, and engineering solutions that enhance reliability, readiness, and operational performance. This role will lead the development of data science methods, predictive maintenance analytics, and engineering assessments with direct impact on ARL customers. 

ARL is an authorized DoD SkillBridge partner and welcomes transitioning service members to apply. 

You will:

• 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 complex 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

Additional responsibilities for higher-level roles: 

• Lead major research thrusts, serve as principal investigator, and/or oversee integrated engineering programs

• Develop strategic technical direction in data-driven reliability engineering and advanced analytics

Required Skills/Experience areas include: 

• Past success solving complex analytical or engineering problems, using structured methodologies to reach effective, defendable solutions

• Failure analysis, reliability engineering, or predictive analytics

• Technical computing or analytics languages such as Python, R, SQL, or similar

• Success in environments where various forms of communication and organizational skills were crucial to be effective Experience collaborating in multi-disciplinary, team-oriented cultures

Preferred Skills/Experience: 

• Cloud infrastructure (AWS, GCP, Azure), containerization, version control, or data engineering tools

• Naval systems engineering, system readiness evaluation, or lifecycle maintenance analysis

• Graduate degree in Computational Science, Engineering Management, Applied Data Science, or related fields
• Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required

Your working location will be fully on-site to start for training located in State College, PA, then a hybrid of on-site/work from home based on project-dependent ability. Questions related to flexible work should be directed to the hiring manager during the interview process. This role requires periodic travel to remote locations. 

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our website at .

BACKGROUND CHECKS/CLEARANCES

SALARY & BENEFITS

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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