Sustainment Data Science & Analysis Support at JSL Technologies Incorporated

Port Hueneme, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

62000.0

Posted On

24 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

RAM-C Data Analytics, Sustainment Engineering, Root Cause Analysis, Machine Learning, Python, Tableau, JIRA, Advana Jupiter, FMECA, LORA, Reliability Block Diagrams, Fault Tree Analysis, Technical Reporting, Readiness Analysis, Sparing Analysis, Data Visualization

Industry

Defense & Space

Description

Description Sustainment Data Science & Analysis Support 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 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. · 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. Requirements Minimum Qualifications: · 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. Preferred Qualifications: · 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. 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 HR@jsltechinc.com if you need accommodation for the application process.

Responsibilities

Provide RAM-C data analytics and sustainment engineering support to improve Navy program readiness and system design. This includes analyzing fleet operational data, developing predictive models, and coordinating with stakeholders to resolve supportability issues.