Sustainment Data Science & Analysis Support

JSL Technologies Incorporated•Port Hueneme, CA

6d•$52,000 - $62,000•Onsite

About The Position

JSL Technologies is seeking personnel to provide Reliability, Availability, Maintainability, and Cost (RAM-C) data analytics/science, supportability analysis, and sustainment engineering support for Navy programs. This position supports readiness analysis, system design reviews, stakeholder coordination, and technical reporting at the Port Hueneme Division Government site.

Requirements

Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.
Ability to obtain and maintain a U.S. Government Secret security clearance.
Experience collecting and analyzing technical, maintenance, readiness, logistics, or operational data to support engineering decisions.
Knowledge of RAM-C, reliability, maintainability, availability, root-cause analysis, and lifecycle supportability principles.
Ability to develop clear technical reports, briefings, and data-driven recommendations for technical and program stakeholders.
Ability to work on-site at the Government facility in Port Hueneme, CA.

Nice To Haves

Experience supporting U.S. Navy surface ship, combat system, sustainment, ISEA, or acquisition programs.
Experience with Reliability Block Diagrams, Fault Tree Analysis, FMECA, LORA, sparing analysis, and readiness metrics such as MTBF, MTTR, MLDT, and availability.
Proficiency with Python, Tableau, JIRA, Advana Jupiter, or comparable analytics, visualization, and issue-tracking tools.
Experience applying machine learning, statistical methods, or predictive analytics to engineering or fleet readiness data.
Familiarity with Navy maintenance, logistics, and readiness data sources and processes.

Responsibilities

Collect, validate, analyze, and interpret RAM-C, readiness, supportability, and fleet operational data across assigned Navy programs and platforms.
Identify failure modes, systemic trends, and root causes affecting reliability, maintainability, availability, and operational readiness; develop actionable recommendations for improvement.
Develop and apply analytical methods, including machine learning techniques where appropriate, to improve analysis efficiency and decision support.
Support development and maintenance of Reliability Block Diagrams, Fault Tree Analyses, Failure Modes, Effects and Criticality Analyses (FMECA), Level of Repair Analyses (LORA), and sparing analyses.
Support acquisition and engineering design reviews by evaluating concepts of operation, system designs, technologies, and data deliverables for sustainment and supportability impacts.
Develop and analyze readiness measures, including Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), Mean Logistics Delay Time (MLDT), and operational, inherent, and material availability measures.
Coordinate with maintenance personnel, OEMs, ISEAs, program sponsors, and technical stakeholders to document, track, and resolve RAM-C and supportability issues.
Use Navy-identified tools such as JIRA, Advana Jupiter, Tableau, Python, or equivalent analytical platforms to manage data, conduct analyses, document issues, and prepare visualizations.
Participate in program and technical reviews and prepare technical reports, weekly and monthly readiness reports, and daily/weekly highlights in accordance with task requirements.