SPC Coordinator/Statistician - #1113542

• Driving yield improvement, process stability, risk reduction, and customer confidence through data integrity and robust analytics.

• To develop and improve semiconductor in product quality assurance activities via Statistical technique to meet the organization goal and customer quality requirements.

• To host Statistical Process Control(SPC) review meeting and drive Continuous Improvement Program across operation

• To maintain and Support Quality Management System and Quality Planning for operation effectiveness.

• Coordinator for plant wide SPC activities

• Setup new SPC control /chart/rule in the shopfloor and monitoring

• Quarterly Control Limit review

• Conduct capability studies (CPK, PPK, GR&R) to evaluate process robustness.

• Weekly CPK performance review

• Establish SBL/SYL control

• Setup error proofing control

• Setup SPC Realtime monitoring Dashboard

• Use statistical modeling to predict potential reliability risks

• Design of Experiments (DOE) & Predictive Modeling

• Provide statistical justification during customer and certification audits

• Develop sampling plans (MIL-STD, ISO 2859, C=0, etc.) for incoming, in-process, and outgoing inspections.

• Partner with CQE, QA, Operations, and R&D teams to define data-driven decision-making processes.

• Provide training to engineers and operators on statistical tools (JMP, Camline SPC).

• Ensure departmental KPI was achieve.

• Involved in or initiate process improvements, projects, task forces, CIP meetings etc.

• To develop and maintain operational specifications.

• Support New project engagement during product qualification and deployment

• Develop and maintain QA databases, workflow and controls

• To perform internal Audits and ensure operations compliance.
  

Required Experience and Qualifications:

•  Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Data Science, Industrial Engineering, Quality Engineering, or related field

• Preferably 5 years’ semiconductor working experience in Quality Control Assurance field or related experience, related to Semiconductor Manufacturing or wafer industries  

• Strong knowledge of statistical methods: SPC, DOE, hypothesis testing, regression, ANOVA, capability analysis, sampling plans.

• Understanding of 5 Core Tool (APQP,PPAP,FMEA,SPC,MSA) will be an added advantage

• Certified Six Sigma Green Belt / Black Belt

• Good interpersonal, communication and presentation skill