Develop and implement data-motivated solutions to improve custom silicon assembly and test manufacturing efficiency, yield, and product quality.

Utilize statistical analysis and machine learning techniques to analyze large datasets of semiconductor production data, identify trends, and predict potential issues.

Create automated data pipelines and dashboards to monitor Key Performance Indicators (KPIs) and provide real-time insights to stakeholders.

Collaborate with cross-functional teams to gather data requirements, develop data analysis strategies, and communicate findings effectively.

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.

5 years of experience in program management.

5 years of experience in scripting languages, specifically Python, for data manipulation, statistical analysis, and task automation, including building and maintaining automated data pipelines (ETL/ELT) to ensure data quality and availability.

Experience in overseeing the delivery of data-driven or technical initiatives.