Data Scientist

About the role

Deliver systems solutions for a high-volume semiconductor wafer manufacturing environment through data analytics, utilizing machine learning and artificial intelligence applications. Integrate manufacturing quality, engineering, production, and support organizations on projects to optimize Time to Detect issues, quality solutions, and incident prevention.

Responsibilities

• Utilize data analytic techniques, advanced statistical methods, programming skills, and semiconductor device manufacturing knowledge to extract, load, and model large amounts of data across multiple platforms and sources.
• Collaborate with subject matter experts to determine the practical significance of data insights.
• Participate in factory standardization activities and improvements across a global manufacturing footprint.
• Develop and contribute logical and objective data analysis skills, supporting data analytics teams across Front end, Assembly, Electronic Business Intelligence, and IT with a customer protection perspective, problem-solving, and prevention in semiconductor manufacturing environments.

Requirements

Master’s degree in Computer Science, Data Science, foreign equivalent, or related field.

Skills

Position requires knowledge gained via completion of a graduate-level course, research project, internship, or related occupation involving:

• Programming languages: C++, Python, and SQL
• Libraries and frameworks: Pandas, OpenCV, PyTorch, and Sklearn
• Computer compiler and algorithms
• Machine learning and deep learning languages
• Network infrastructure
• Neural networks such as CNN
• Data visualization software

Pay

$128,750 per year.