It would be better to have below one or more expertise :
1. Familiar with statistics and experienced in data analysis. To be able to use statistical approach to build up or optimize the modeling for big data analysis / solution and machine learning.
2. Data analysis and outlier screening for product quality improvement.
3. Experience on failure analysis, failure model and justification.
4. Advanced reliability qualification strategy and new stress methodology investigation / development, also early engagement on process reliability.
Requirement 1. Proactive working attitude and good communication skill.
2. Familiar with statistical analysis software, failure analysis tools, or experiences on device reliability, circuit reliability & aging simulation, or familiar with all kinds of reliability stress methodologies & lifetime modeling.
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