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.
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