Naval Reliability & Sustainment Data Scientist

Naval Reliability & Sustainment Data Scientist

Port Hueneme CA

About Us:

JSL Technologies Inc. (JSL) is a certified Small Disadvantaged Business (SDB) and Veteran-Owned government contractor delivering engineering logistics and program support services to the Department of Defense (DoD). Our team of more than 200 professionals is dedicated to providing practical innovative and cost-effective solutions that support critical missions.

Headquartered in Oxnard California JSL supports government customers across the nation. We foster a culture built on integrity collaboration and accountability empowering our employees to perform at a high level and continuously improve the way we serve our customers.

At JSL our people are the foundation of our success. We offer competitive compensation and a comprehensive benefits package that supports the well-being and professional growth of our team.

Job Description:

JSL Technologies is seeking a Naval Reliability & Sustainment Data Scientist to deliver advanced RAM-C analytics predictive maintenance modeling and supportability engineering for U.S. Navy surface combat systems and weapons programs. Operating directly at the Port Hueneme Division (PHD NSWC) government site you will leverage fleet maintenance data statistical analysis and machine learning models to identify system failure trends optimize readiness metrics (MTBF MTTR MLDT) and directly influence naval acquisition and sustainment decisions.

• RAM-C & Fleet Analytics: Extract clean and analyze readiness maintenance and operational data across Navy platforms using tools like Python Tableau and Advana Jupiter.
• Failure Analysis & Predictive Modeling: Identify systemic failure modes and root causes using statistical methods and Machine Learning (ML). Develop predictive models to improve material availability ($Am$) and operational readiness ($Ao$).
• Reliability Engineering: Develop and update Reliability Block Diagrams (RBDs) Fault Tree Analyses (FTAs) FMECAs Level of Repair Analyses (LORAs) and sparing models.
• Metrics & Reporting: Track key performance indicatorsincluding Mean Time Between Failures (MTBF) Mean Time to Repair (MTTR) and Mean Logistics Delay Time (MLDT)and deliver weekly/monthly executive dashboards and technical reports.
• Design & Acquisition Support: Participate in system design and engineering reviews to evaluate new technologies and concepts of operation for long-term sustainment impacts.
• Stakeholder Coordination: Collaborate with In-Service Engineering Agents (ISEAs) OEMs program sponsors and fleet maintenance crews to resolve systemic RAM-C deficiencies.
• Data & Issue Tracking: Use Jira and custom workflows to document data engineering pipelines track issue resolution and report metrics to Navy leadership.

Minimum Qualifications:

• Work Authorization: Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.
• Security Clearance: Ability to obtain and maintain an active U.S. DoD Secret clearance.
• Location: Must work on-site at the Naval Surface Warfare Center Port Hueneme Division (PHD NSWC).
• Data & Analytics Skills: Proven experience working with complex maintenance logistics or engineering datasets using analytics platforms.
• Core Engineering Knowledge: Understanding of RAM-C principles root-cause analysis (RCA) and lifecycle supportability concepts.
• Communication: Ability to distill complex datasets into clear briefings technical reports and actionable recommendations for program leads.

Preferred Qualifications:

• Navy/DoD Experience: Prior support for Navy combat systems surface ships or ISEA operations.
• Tech Stack: Proficiency in Python (pandas scikit-learn numpy) Tableau visualization Jira and DoD enterprise data platforms like Advana / Jupiter.
• Advanced Reliability Methods: Direct experience creating FMECAs LORAs Fault Trees and spare parts optimization models.
• Agile/ML: Hands-on application of predictive maintenance analytics or Agile development frameworks in defense environments.

Security Clearance:

Applicants must have an active security clearance and/or the ability to obtain and maintain a US Government Security Clearance. Selected candidates will be subject to a government security investigation and must meet eligibility requirements to obtain a DoD Government-granted security clearance. Individuals will be subject to a background investigation to include but not limited to criminal history employment and education verification drug testing and creditworthiness.

EEO:

JSL Technologies Inc. is an equal opportunity employer. We provide equal employment opportunities to all qualified applicants and employees without discrimination with regard to race religion creed color sex sex stereotype pregnancy childbirth or related medical conditions age sexual orientation gender gender identification and expression transgender status transitioning employees physical or mental disability medical condition genetic characteristics genetic information marital status registered domestic partner status status as military or as a veteran or as a qualified disabled veteran ancestry citizenship national origin.

To perform this job successfully an individual must be able to perform each essential duty satisfactorily. The requirements listed must be representative of the knowledge skills minimum education training licensure experience and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Please contact if you need accommodation for the application process.