Manager, AMAIS SPOCK Applications & Data‑Driven Modeling
Core
Leading delivery of data-driven modeling and analytics solutions to support Technology Development decision-making, accelerate yield learning, and reduce development cycle time in semiconductor manufacturing.
Role type
Manager, data science and statistical modeling
Builds
Data-driven modeling and analytics solutions for Technology Development
Domain
Semiconductor manufacturing and Technology Development
Deliverable
production ML models | dashboards & analysis
Required skills
statistical modeling, machine learning, large-scale data analysis, people leadership, cross-functional collaboration, problem-solving, technical guidance, project planning, risk management
Preferred skills
semiconductor technology development domain knowledge, experience with large complex datasets (process/tool/measurement data), familiarity with modern analytics platforms
Technologies
modern analytics or modeling platforms
Responsibilities
Lead execution of data-driven modeling solutions; translate complex TD problems into analytical approaches; drive application of statistical methods and ML; partner with TD/Process/Device/Manufacturing teams; ensure solutions are documented and scalable; review analysis quality and validate assumptions; lead and mentor a team of engineers and analysts; manage planning, prioritization, and delivery commitments
Seniority
Manager, people and technical accountability
