- Employ statistical modeling and machine learning 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 sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
- Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
- Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
- Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
- Undertake other assigned tasks as needed.
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.
- Skilled in developing and implementing algorithms to optimize processes and solve problems.
- Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
- Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
- Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
- Meticulous, organized, resourceful, highly motivated, and capable of independent work.
To apply, please visit www.gmprecruit.com and search for Job Reference: 24993
To learn more about this opportunity, please contact Gia Grace at [email protected]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973
This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).
e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.
By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.
