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Semiconductor Data Analyst
1 month ago
GMP Technologies (S) Pte Ltd is a leading technology company in the semiconductor industry, seeking a highly skilled professional to join their team as a Data Scientist.
Job Overview:
The successful candidate will possess excellent communication skills and be proficient in developing sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets.
About the Role:
- Employ statistical modeling and machine learning techniques to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
- Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
- Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
- Develop and implement algorithms to optimize processes and solve problems, utilizing strong knowledge of data analytics methodologies and predictive modeling.
- Collaborate with engineering teams to assess the effectiveness of developed algorithms and contribute to cross-functional data science initiatives.
Requirements:
- Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
- Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
- Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
- Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
- Proficient in using various data science tools and programming languages for data manipulation, visualization, and analysis.
Estimated Salary: SGD $80,000 - SGD $120,000 per annum, depending on qualifications and experience.
Benefits:
- Opportunity to work with a leading technology company in the semiconductor industry.
- Chance to develop and implement advanced data analytics and machine learning algorithms.
- Collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
