Reliability Analytics Engineer, Amazon Robotics
Tasks
- Automate reliability growth tracking
- Build and validate ETL processes
- Classify failure modes using machine learning
- Clean and validate reliability datasets
- Define reliability data requirements
- Design reliability KPI dashboards
- Develop reliability assessment tools
- Establish data governance for reliability datasets
- Identify data gaps and define data collection requirements
- Run MCF and Weibull analyses
- Translate reliability questions into data queries
Perks/Benefits
Skills/Tech-stack
AI Automation | DFMEA | Dashboarding | Data Cleansing | Data Governance | Data Lakes | Data Validation | EAM | ETL | Failure Mode Classification | Machine Learning | Mean Cumulative Function | Python | Statistical modeling | Survival analysis | Telemetry | Weibull analysis
Education
Regions
Countries
States
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