Data Scientist for Asset Reliability Monitoring

4 days ago


Newbury Park, California, United States Randstad Full time
Job Summary

We are seeking a highly skilled Data Scientist to join our team at Randstad Digital. As a key member of our Reliability Engineering team, you will be responsible for developing and deploying data-driven tools for asset reliability monitoring for MCS.

Key Responsibilities
  • Develop and deploy data-driven tools for asset reliability monitoring
  • Interact with MCS Fac & Eng SMEs to develop knowledge on KPIs for equipment and advance existing framework of system monitoring analytics
  • Build dynamic platforms and data architecture that can aggregate reliability performance of all MCS assets
  • Assess Asset Hierarchy at the system-level down to the component-level
  • Regularly apply theories and principles from Data Analysis to develop and deploy asset performance monitoring tools
  • Develop, program, improve, automate, and deploy reliability models
  • Facilitate reliability centered maintenance assessments and collaborate with SMEs to six sigma methodologies for improving maintenance strategies
  • Train, perform, and develop reliability tools and procedures (OEE, RCM, FMEA, RCA, reliability models, statistical analysis, FRACAS, etc.)
  • Contribute to Reliability Engineering strategic planning and continuous improvement opportunities
  • Create reliability documents, business process documents, schedules, and reports
Requirements
  • Minimum 1 year of experience in Data Analysis
  • Experience with PdM Technologies, CBM Technologies, and Six Sigma
  • Doctorate degree required

We offer a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.



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