岗位职责：
1. Collaborate with cross-functional teams of supply chain to identify opportunities for data-driven insights in supply chain process.
2. Develop Supply Chain process fault model and implement into line control.
3. Developing predictive maintenance model.
4. Develop visualizations and reports for data analysis and drilldown.
5. Design and implement experiments to test hypotheses and improve model performance.
6. Develop predictive models and algorithms to provide insights and solve complex business problems.
7. Collect and analyze large datasets using statistical techniques and machine learning algorithms.
8. Support data/model validation from business partner.
9. Continuously evaluate and improve the accuracy and effectiveness of models.
10. Setup and maintain the data quality.
教育背景Education
1. Master’s degree in computer science, Statistics, Mathematics, or a related field.
*职位要求的信息或知识范围 Statement of the Informational or conceptual framework required by the Job
1. Very Good at development in Spotfire, Tableau, Power BI or similar tools
2. Good at one of the data processing languages (Python preferred)
3. Basic knowledge of SQL programming
4. Good English skill, both written and oral
5. Semiconductor and engineering problem solving experience is a plus.
相关工作经验Experiences：
Experienced candidates, Semiconductor Supply Chain working experience is a plus.
5+ years of experience in data science or a related field.
其他胜任力Competencies &Soft Skill
1. Good English skill, both written and oral
2. Good teamwork spirit
3. Strong self-learning motivation, good communication skill.