By using statistical analysis methods and ML/AI analysis methods such as BigData analysis of test data of semiconductor products, we can extract issues hidden in the production process to improve yield and test efficiency.
- Technical area: Data analysis algorithm development
- Target Products: R-Car/RH850 and other in-vehicle products in general
- Project description: Development of applications and dashboards on test data analysis systems/infrastructure
- Responsible for: Planning, proposal, requirement definition, development, evaluation, release, user support, etc. for the above
*The full details regarding your position scope as well as any future potential changes in work location and job scope will be provided during the interview process.
Requirements
- Data Scientist Certification Level (Literacy Level) (Pass Level) Skills
- Experience (2-3 years) in developing data analysis systems (database + algorithms + graphing) using BigData analysis methods
- Coding skills related to visualization technology (data visualization)
- Presentation skills (ability to communicate proposals to others in an appropriate and logical manner)
- Basic knowledge of semiconductors and their testing methods
- Business level English & Japanese language ability
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Renesas Electronics
Renesas is a top global semiconductor company developing products for automotive, industrial, infrastructure, and IoT markets.
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