Automate recurring data processing, validation, and reporting tasks to shorten turnaround time.
Document data flows, design decisions, and known issues to support knowledge sharing and team scaling.
Collaboration
Work with yield, diagnostics, and design engineers across Taiwan, the US, and India to translate data requirements into practical tools.
Ramp up quickly on existing platforms, team processes, and 3DIC domain context with mentorship support.
Minimum Qualifications
Bachelor’s degree in a related field with 2+ years of relevant experience.
OR
Master’s degree in Engineering, Computer Science, Information Management, Data Science, or a related field, with 0–2 years of relevant experience;
Preferred Qualifications
Exposure to semiconductor manufacturing, yield analysis, quality engineering, or 3DIC-related topics (through coursework, projects, or work experience).
Experience applying data analytics or statistical methods to identify issues, improve processes, or support decision-making in a technical or manufacturing environment.
Familiarity with data visualization, frontend data integration, or building data applications.
Demonstrated ability to learn new domains quickly and contribute to cross-functional automation or scaling initiatives.
Good communication skills and a collaborative, proactive attitude.
Preferred Skills
Demonstrated industry-level data analytics experience, through work or substantial projects, applied to real engineering or manufacturing problems.
3DIC knowledge through coursework, projects, or work experience (for example, wafer stacking, hybrid bonding, TSV, stack genealogy, or 3DIC reliability).
Hands-on SQL (joins, aggregation, indexing; PostgreSQL preferred) and Python (pandas or equivalent).
Experience building or maintaining a data pipeline, data application, or analytics workflow.
Strong problem-solving skills and the ability to ramp up quickly in a new technical environment.
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