JSL TECHNOLOGIES INCORPORATED
Sustainment Data Science & Analysis Support
JSL TECHNOLOGIES INCORPORATED, San Diego, California, United States, 92189
Overview
Sustainment Data Science & Analysis Support
Must be in the San Diego Area (90% Remote)
Part-time (20 hours per week)
About Us JSL Technologies, Inc. is a successful, growing company looking for first-rate professionals to join us in supporting the Department of Defense on cutting-edge technologies, advanced weapon systems, and innovative solutions to complex problems. We attract the best subject matter experts in Engineering, Logistics, Administrative Support, and Program Management to deliver top-notch services. Join the JSL team and earn a competitive salary, great benefits, and a rewarding career where you can make a difference. We are a Veteran-Owned company that proudly fosters an inclusive environment of diverse, ethical, committed, and highly accomplished professionals who respect each other, hold themselves accountable, and continually strive for improvement.
Job Description JSL seeks a motivated Machine Learning student or recent graduate to fill this exciting and technically challenging part-time position in support of the US Navy. The applicant will provide support to Littoral Strike and Warfare programs including Gun Weapon System (GWS), Littoral Combat Ship (LCS) Sea Frame, LCS Mission Module (MM), LCS Trainers, Tomahawk, Unites States Coast Guard (USCG), USCG Aegies Athena program, Harpoon program, Guided-Missile Frigate (FFG) program, USS Zumwalt (DDG-1000)-Guided Missile Destroyer program, Multi-Mission Surface Combatant (MMSC) program, and Over-The-Horizon (OTH) Weapon System program, Aegis Weapon System (AWS) program, Ship Self Defense System (SSDS) program, Ballistic Missile Defense (BMD) program, Carrier program, Amphibious program, Destroyer program, Cruiser program, Frigate program, Integrated Combat System program, Unmanned program, and other programs as required.
Responsibilities
Provide supportability analysis and planning, and assist in lifecycle execution with a sustainment focus.
Support RAM-C data collection, analysis, and reporting; develop and update Readiness Growth Candidates (RGC).
Identify and analyze failure modes and root causes for systemic issues; apply Machine Learning to reduce labor-intensive data reviews and support reliability improvements.
Assist in developing Reliability Block Diagrams, Part-to-Block Diagrams, Fault Tree Analysis, FMECA, LORA, and sparing analyses; review and assess design parameters to propose solutions.
Review system concepts of operations, designs, and technologies; evaluate data deliverables and provide comments using established reporting procedures.
Support system reporting milestones through weekly and monthly readiness and fleet operational requirements reporting.
Analyze RAM-C data to develop trade-offs and support decision-making for identified issues.
Coordinate with maintenance personnel, OEMs, ISEA, program office sponsors, and SMEs to document RAM-C issues throughout the lifecycle.
Participate in program and technical reviews; document issues, perform analysis, and prepare technical reports using Navy systems (e.g., JIRA, Advana Jupiter, Tableau, Python, OPUS, SIMLOX, Block SIM, R, and others).
Develop measures of system readiness such as MTBF, MTTR, MLDT to support Operational or Material Availability reporting.
Provide weekly highlights of progress and upcoming work.
Minimum Qualifications
Ability to obtain and maintain a Secret clearance is required.
Must be legally authorized to work in the United States without employer sponsorship (now or in the future).
Completed college-level coursework in Machine Learning.
Demonstrated computer literacy and experience with Microsoft Word, PowerPoint, Excel, Teams.
Experience with JIRA, Advana Jupiter, Tableau, Python, OPUS, SIMLOX, Block SIM, R, and related tools.
Desired Qualifications
Active Secret security clearance.
BS degree in Machine Learning from an accredited institution.
Security Clearance Applicants may be required to have an active security clearance or the ability to obtain and maintain a US government security clearance as specified in the minimum qualifications. 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 be limited to, criminal history, employment and education verification, drug testing, and creditworthiness.
EEO JSL Technologies, Inc. is an equal opportunity employer. All applicants are considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. 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.
Equal employment opportunity, including veterans and individuals with disabilities.
PI278395078
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Must be in the San Diego Area (90% Remote)
Part-time (20 hours per week)
About Us JSL Technologies, Inc. is a successful, growing company looking for first-rate professionals to join us in supporting the Department of Defense on cutting-edge technologies, advanced weapon systems, and innovative solutions to complex problems. We attract the best subject matter experts in Engineering, Logistics, Administrative Support, and Program Management to deliver top-notch services. Join the JSL team and earn a competitive salary, great benefits, and a rewarding career where you can make a difference. We are a Veteran-Owned company that proudly fosters an inclusive environment of diverse, ethical, committed, and highly accomplished professionals who respect each other, hold themselves accountable, and continually strive for improvement.
Job Description JSL seeks a motivated Machine Learning student or recent graduate to fill this exciting and technically challenging part-time position in support of the US Navy. The applicant will provide support to Littoral Strike and Warfare programs including Gun Weapon System (GWS), Littoral Combat Ship (LCS) Sea Frame, LCS Mission Module (MM), LCS Trainers, Tomahawk, Unites States Coast Guard (USCG), USCG Aegies Athena program, Harpoon program, Guided-Missile Frigate (FFG) program, USS Zumwalt (DDG-1000)-Guided Missile Destroyer program, Multi-Mission Surface Combatant (MMSC) program, and Over-The-Horizon (OTH) Weapon System program, Aegis Weapon System (AWS) program, Ship Self Defense System (SSDS) program, Ballistic Missile Defense (BMD) program, Carrier program, Amphibious program, Destroyer program, Cruiser program, Frigate program, Integrated Combat System program, Unmanned program, and other programs as required.
Responsibilities
Provide supportability analysis and planning, and assist in lifecycle execution with a sustainment focus.
Support RAM-C data collection, analysis, and reporting; develop and update Readiness Growth Candidates (RGC).
Identify and analyze failure modes and root causes for systemic issues; apply Machine Learning to reduce labor-intensive data reviews and support reliability improvements.
Assist in developing Reliability Block Diagrams, Part-to-Block Diagrams, Fault Tree Analysis, FMECA, LORA, and sparing analyses; review and assess design parameters to propose solutions.
Review system concepts of operations, designs, and technologies; evaluate data deliverables and provide comments using established reporting procedures.
Support system reporting milestones through weekly and monthly readiness and fleet operational requirements reporting.
Analyze RAM-C data to develop trade-offs and support decision-making for identified issues.
Coordinate with maintenance personnel, OEMs, ISEA, program office sponsors, and SMEs to document RAM-C issues throughout the lifecycle.
Participate in program and technical reviews; document issues, perform analysis, and prepare technical reports using Navy systems (e.g., JIRA, Advana Jupiter, Tableau, Python, OPUS, SIMLOX, Block SIM, R, and others).
Develop measures of system readiness such as MTBF, MTTR, MLDT to support Operational or Material Availability reporting.
Provide weekly highlights of progress and upcoming work.
Minimum Qualifications
Ability to obtain and maintain a Secret clearance is required.
Must be legally authorized to work in the United States without employer sponsorship (now or in the future).
Completed college-level coursework in Machine Learning.
Demonstrated computer literacy and experience with Microsoft Word, PowerPoint, Excel, Teams.
Experience with JIRA, Advana Jupiter, Tableau, Python, OPUS, SIMLOX, Block SIM, R, and related tools.
Desired Qualifications
Active Secret security clearance.
BS degree in Machine Learning from an accredited institution.
Security Clearance Applicants may be required to have an active security clearance or the ability to obtain and maintain a US government security clearance as specified in the minimum qualifications. 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 be limited to, criminal history, employment and education verification, drug testing, and creditworthiness.
EEO JSL Technologies, Inc. is an equal opportunity employer. All applicants are considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. 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.
Equal employment opportunity, including veterans and individuals with disabilities.
PI278395078
#J-18808-Ljbffr