Tesla

March 25, 2021

上海市, CN

Role and Responsibilities:

Review academic and industry literature for applicable knowledge.
Design and maintain well-structured rational database schemas
Create automated ETL pipelines for a variety of raw manufacturing data sources
Research and develop new data storage architectures for growing data volumes
Design experiments to generate empirical optimizations.
Analyze existing in-process data to Inform process development by analyzing equipment in-process data to understand the mechanisms of root causes.
Build mathematical models to accelerate future optimizations.
Determine what and how data should be collected on new production lines.
Identify novel techniques for instrumenting equipment to better control process.
Determine product characterizations methods for durability testing.
Educate others on statistical analysis and scientific investigation.
Collaborate daily with other members of Manufacturing Engineering.

Requirements:

PhD or MS in engineering, physics, mathematics, or equivalent.
Excels in experimental design.
Excels in data-driven optimizations.
Excels in documentation of research and results.
Exemplary verbal and written communication skills.
Proficiency with data analysis languages such as R, Python, SQL, Matlab and/or SAS.
Proficiency in statistics and data visualization.
Proficiency creating process documentation.
Able to work under pressure while managing competing demands and tight deadlines.
Well organized with meticulous attention to detail

To Application