Principal Engineer, Data Management Engineering

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.

1. Master's degree in computer science, Statistics, Mathematics, or a related field
2. 5+ years of experience in data science or a related field
3. Very Good at development in Spotfire, Tableau, Power BI or similar tools
4. Good at one of the data processing language (Python preferred)
5. Basic knowledge of SQL programming
6. Good English skill, both written and oral
7. Experienced candidates, Semiconductor supply Chain working experience is a plus.

1.Good teamwork spirit

2.Strong self-learning motivation, good communication skill.