Data Scientist

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/KNIME

Requirements

• Bachelor’s degree in Microelectronics, Data Science or a related field
• 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
• Excellent communication and ability to work collaboratively in a team environment and establish good relationships with customers
• Meticulous, organized and resourceful team player
• Highly motivated individual who works independently with little supervision

We regret that only shortlisted candidates will be notified.

Job Types: Full-time, Permanent

Benefits:

• Health insurance

Schedule:

• Monday to Friday

Education:

• Bachelor's or equivalent (Preferred)

Experience:

• Data science: 3 years (Required)

Work Location: In person