Reliability Data Scientist
Tasks
- Analyze censored reliability data
- Build telematics and IoT data pipelines
- Correlate failure events with sensor data
- Create and maintain KPI dashboards
- Detect anomalies in fleet data
- Develop and deploy predictive failure models
- Identify failure root causes
- Monitor real time health scores
- Perform Weibull analysis
- Provide design for reliability recommendations
- Run Monte Carlo reliability simulations
Perks/Benefits
- Domestic relocation
- Employee resource groups
- Flexible family care days
- Paid Holidays
- Paid parental leave
- Paid time off
- Paid time off for community service
- Subsidized back-up childcare
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
Accelerated life testing | Anomaly Detection | Correlation Analysis | Hadoop | IoT | JMP | Life testing | Matplotlib | Monte Carlo | Monte Carlo Simulation | NumPy | Pandas | Physics of failure | Power BI | PyMC3 | Python | R | Reliasoft | SQL | Scikit-learn | Seaborn | Snowflake | Spark | Stan | Statistical modeling | Survival analysis | Tableau | Telematics | Weibull analysis
Education
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