Sr. Industrial Engineer – Data Engineering
| Company | Tesla |
|---|---|
| Location | Austin, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior |
Requirements
- Degree in Data Science, Industrial Engineering, or equivalent experience
- 5+ years of experience in data analysis and modeling within manufacturing environments
- Strong proficiency in Python, SQL, R for data analysis, visualization, and modeling
- Experience with time-series analysis, statistical process control (SPC), and predictive analytics
- Good first principles understanding of Industrial Engineering, OEE concepts
- Excellent problem-solving skills with the ability to work in a fast-paced manufacturing environment
- Excellent communication & collaboration skills with ability to drive data related initiatives with various internal and external stakeholders
- Deep understanding and experience in Discrete Event Simulation modeling, coupled with expertise in predictive modeling using ML algorithms and digital twin technology for process simulation and improvement
Responsibilities
- Analyze and maintain yield, availability, and cycle time data to identify trends, inefficiencies, and opportunities for optimization
- Develop Model inputs and build Software as necessary to make this available to larger Tesla Team
- Collaborate with various Tesla teams to Build automated data pipelines to collect, process, and analyze real-time yield, availability, and cycle time data from various sources (IoT sensors, MES, PLCs, SCADA systems)
- Use statistical process control (SPC), regression analysis, and time-series forecasting to enhance manufacturing efficiency
- Create interactive dashboards and visualizations in Power BI, Tableau, or Python-based tools for easy monitoring of performance trends
- Own and manage projects from design to production, maintain relationship with stakeholders and collaborate with both business and technical teams to satisfy business needs
- Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues
- Reverse engineer existing projects or products in use and always look for improvements in processes preferably with open-source technologies
Preferred Qualifications
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No preferred qualifications provided.