Data Scientist

Responsibilities:

• Analyze data and use statistical models and machine learning to resolve customer issues and identify root causes.
• Work with field engineering teams to analyze data from plasma etching systems and provide accurate, timely insights for improvements.
• Communicate data findings clearly to customers and internal teams.
• Develop advanced statistical and machine learning algorithms to extract insights from complex data and collaborate with engineering teams to assess algorithm effectiveness.
• Collaborate with global data engineering teams to share best practices and support cross-functional projects requiring data science expertise.
• Maintain and develop internal analytics solutions, ensuring data accuracy and integrity.
• Train local engineers in data analytics tools like JMP/KNIME.
• Perform additional duties as needed.

Requirements:

• Degree/Master’s in Microelectronics, Data Science, or a related field.
• At least 3 years of experience in semiconductor manufacturing, semiconductor fabrication, or related industries.
• Proven experience as a Data Scientist in the semiconductor industry, with a focus on plasma dry etch processes.
• Strong ability to develop and implement algorithms for process optimization and problem-solving.
• Expertise in data analytics, statistical analysis, machine learning techniques, and predictive modeling.
• Proficiency in data science tools and programming (e.g., Python, JSL, R) for data manipulation, visualization, and analysis.
• Excellent communication skills and the ability to collaborate in team environments while maintaining good customer relationships.
• Detail-oriented, organized, and a resourceful team player.
• Highly motivated and able to work independently with minimal supervision.