**Job Title:** Statistical Analyst for Semiconductor Process Improvement
Job Summary (50 words)
We seek a skilled Data Scientist to analyze test data of semiconductor products using statistical analysis methods and ML/AI techniques. The successful candidate will develop algorithms to improve yield and test efficiency, working with in-vehicle products such as R-Car/RH850.
Responsibilities
- Plan, propose, define requirements, develop, evaluate, release, and provide user support for data analysis systems and infrastructure.
Qualifications
- Data Scientist Certification Level: Literate or Pass level
- 2-3 years of experience in developing data analysis systems using BigData analysis methods
- Coding skills related to visualization technology (data visualization)
- Presentation skills to communicate proposals logically
- Brief knowledge of semiconductors and their testing methods
- Business-level English and Japanese language ability
About the Company
Renesas identifies factors based on test data through advanced data analysis, combining manufacturing process, design information, and mass production test environment. We use software failure diagnosis and hard wafer analysis to investigate root causes, leading to yield improvement. With increasing difficulty in analyzing cutting-edge processes (3nm), we strengthen our human resources for advanced data analysis technology.
Requirements
Estimated Salary: $80,000 - $110,000 per year
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