Naval RAM-C Analytics Scientist

JSL Technologies, Inc.; Port Hueneme (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

JSL Technologies, Inc. is recruiting a Naval Reliability & Sustainment Data Scientist to deliver RAM-C analytics, predictive maintenance modeling, and supportability engineering for U.S. Navy surface combat systems.

The role is on-site at Port Hueneme, CA, leveraging fleet maintenance data and ML models to influence naval acquisition and sustainment decisions. The successful candidate will work with RAM-C methodologies, develop predictive maintenance tools, and produce weekly/monthly dashboards

Qualifications

• U.S. work authorization and DoD security clearance.
• On-site at the Naval Surface Warfare Center Port Hueneme Division.
• Experience with maintenance, logistics, or engineering datasets.

Responsibilities

• RAM-C and fleet analytics: extract, clean, analyze readiness and maintenance data using Python, Tableau, and Advana Jupiter.
• Failure analysis and predictive modeling to identify failure modes and improve material availability and readiness.
• Develop and update RAM-C artifacts: RBDs, FTAs, FMECAs, LORAs, and sparing models.

Skills

Data analytics

RAM-C knowledge

Communication

Tools

Python

Tableau

Jira

Advana/Jupiter

Job description

JSL Technologies, Inc. is recruiting a Naval Reliability & Sustainment Data Scientist to deliver RAM-C analytics, predictive maintenance modeling, and supportability engineering for U.S. Navy surface combat systems.

The role is on-site at Port Hueneme, CA, leveraging fleet maintenance data and ML models to influence naval acquisition and sustainment decisions. The successful candidate will work with RAM-C methodologies, develop predictive maintenance tools, and produce weekly/monthly dashboards