Responsibilities:
- Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
- Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
- Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
- Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
- Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
- Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
- Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
- Other duties as assigned
Requirements:
- Bachelor's or Master's degree in Microelectronics, Data Science, or a related discipline.
- At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
- Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
- Expertise in developing and deploying algorithms for process optimization and problem-solving.
- Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
- Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
- Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
- Detail-oriented, organized, and resourceful team player.
- Self-motivated and capable of working independently with minimal supervision.
To apply, please visit www.gmprecruit.com and search for Job Reference: 24994
To learn more about this opportunity, please contact Yingying at [Confidential Information]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
