JSL Technologies, Inc. · 4 hours ago
Sustainment Data Science & Analysis Support (Part Time-20 Hours Weekly)
JSL Technologies, Inc. is a growing company focused on supporting the Department of Defense with advanced technologies and innovative solutions. They are seeking a motivated Machine Learning student or recent graduate to provide analysis and support for various Navy programs, focusing on reliability and maintainability improvements.
Consulting
Responsibilities
Provide supportability analysis, planning, execution through life cycle. Provide acquisition design review support with sustainment focus
Support system Reliability, Availability, Maintainability, Cost (RAM-C) data collection, analysis, and reporting. Develop and update Readiness Growth Candidates (RGC)
Identify and develop failure mode and root cause for systemic issues and conduct analysis to support reliability and maintainability improvements. Apply Machine Learning to reduce labor intensive data reviews
Support development of Reliability Block Diagrams, Part to Block Diagrams, Fault Tree Analysis, Failure Modes Effectiveness and Corrective Action (FMECA), Level of Repair Analysis (LORA), and Sparing analysis. Review and assess the system design parameters and provide design, maintenance or logistics solutions
For supportability issues, review and evaluate the ship/system concept of operations, designs and technologies, review system data deliverables and provide comments using established reporting procedures
Support system reporting milestones through weekly and monthly periodic readiness and fleet operational requirements reporting
Analyze RAM-C data and develop trade off analysis and supporting decision to determine Course of Action for identified issues
Coordinate with maintenance personnel, ship riders, Original Equipment Manufacturers (OEMs), In Service Engineering Agents (ISEA), program office sponsors, and Subject Matter Experts (SME) to document and update any RAM-C issues that arise during the life cycle
Participate in program and technical reviews to support issue identification, analysis and reporting. Utilize Navy identified systems (i.e. JIRA, Advana Jupiter, Tableau, Python, OPUS, SIMLOX, Block SIM, R, and others) to document issues, gain efficiencies, perform analysis and develop technical reports
Support the development of key measures to determine system readiness including but not limited to: Mean Time Between Failure (MTBF), Mean Time to Repair (MTTR), and Mean Logistics Delay Time (MLDT) to generate the Operational Availability (Ao) or Material Availability (Am) or other specific measures traceable to program requirements
Provide weekly highlights of efforts accomplished and being worked
Qualification
Required
Ability to obtain and maintain a Secret clearance is required to be considered for this position
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Completed college-level coursework in Machine Learning
Demonstrated computer literacy and experience with Microsoft products (Word, PowerPoint, Excel, Teams)
Demonstrated experience with JIRA, Advana Jupiter, Tableau, Python, OPUS, SIMLOX, Block SIM, R, and others
Preferred
Active Secret security clearance
BS degree in Machine Learning from an accredited institution
Benefits
Competitive salary
Great benefits
Company
JSL Technologies, Inc.
JSL Technologiesis a defense & space company offering system engineering and program planning services.
Funding
Current Stage
Growth StageCompany data provided by crunchbase