Data Scientist (Plasma dry Etch, Permanent)
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Summary
The Data Scientist will analyze plasma dry etch process data to troubleshoot customer issues and optimize manufacturing performance using machine learning and statistical modeling. The role involves collaborating with field engineering teams and training local staff on analytics tools like JMP and KNIME.
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; Collaborate with global data engineering teams to share best practices and work on cross- functional projects that require data science expertise
- 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
- 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/KNIME & Other duties as assigned
Requirements
- Degree/Master in Microelectronics, Data Science or a related field with Minimum 3 years' experience in semiconductor manufacturing equipment, semiconductor fabrication factory, semiconductor parts/peripherals or related industry
- Proven working experience as a Data Scientist in the semiconductor industry with a focus on plasma dry Etch process
- Ability to develop and implement algorithms for process optimization and problem solving
- Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modelling
- Proficiency in using various data science tool sets and programming skills (e.g., Python, JSL, R etc.) for data manipulation, visualization, and analysis
Additional info
- Company industry: Manufacturing
- Location: Paya Lebar
GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | VO UYEN AI LINH | Registration No: R22109232