Senior Data Scientist (Quality Systems)
Intel · USA - AZ - Chandler, United States
About this role
Job Details: Job Description: APTD: SWA is at the center of making Intel Foundry's and APTM's advanced package substrate roadmap a reality. We do this by collaborating with external suppliers to demonstrate disruptive packaging architectures and integrate them into certifiable products. These products will be volume manufactured within our substrate factory network
The Quality Engineer's quest to elevate quality standards internally and at substrate suppliers is vital for the organization to meet customer expectations in the ultra-competitive foundry environment. We are looking for a hands-on PCS Champion with a strong background in advanced statistical methods to align all factories to new quality expectations and monitor their efforts to scale to accommodate additional demand. In direct partnership with our Module and Integration teams, this enabling role must: Daily Responsibilities: • PCS: Lead the application of advanced statistical methods, specifically Statistical Process Control (SPC)
Challenge each factory to achieve best-in-class PCS through a blended approach of training, practical application, data analysis, and strategic development. As a champion for PCS, move stakeholders beyond traditional black and white thinking so they recognize potential limitations in modern manufacturing and consider alternative approaches. This effort should include a comprehensive roadmap for sustained improvement
• Audits: Conduct on-site operational audits to ensure factories are on track to bring new capacity online. Each audit shall evaluate the facilities, equipment qualification schedules, operational processes and quality systems through a combination of virtual and on-site methods. Findings will be issued to facilitate gap closure
• Requirements: Introduce and enforce operational quality standards including scope, goals, expectations (PCS, CCB, CAPA, outgoing inspection...), reporting, audits and CIPs. Playbook must be flexible enough for the application of practi
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