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Statistical Process Lead Engineer (Manufacturing)
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Описание вакансии
Текст:
TL;DR
Statistical Process Lead Engineer (Manufacturing): Driving statistical process control and process capability improvements across new product introduction and existing manufacturing operations with an accent on SPC implementation, root-cause analysis, and experimental design. Focus on executing complex statistical evaluations, improving cleanliness and process performance, and translating analysis into dashboards and clear presentations for cross-functional teams.
Location: Kulim, Kedah, Malaysia
Company
operates a manufacturing facility where this role supports new product introduction and existing product processes.
What you will do
- Drive and champion Statistical Process Control implementation and sustainability across relevant processes at the Kulim facility.
- Partner with Manufacturing, Process, and Quality Engineers on root-cause analysis across outgoing, in-process, and incoming manufacturing streams.
- Execute statistical evaluations, including design of experiments and data mining, to improve quality and process capability.
- Design and run experiments for quality and process capability improvements.
- Support customer excursions and corrective and preventive action activities using statistical methods.
- Define statistical dashboards with the Manufacturing Systems Solutions team and communicate complex analysis to broad audiences.
Requirements
- Bachelor’s or higher degree in Engineering, Mathematics, Statistics, or a related field.
- 10–15 years of experience implementing statistical process improvements in a fast-paced manufacturing environment.
- Six Sigma Black Belt certification.
- Strong knowledge of Statistical Process Control principles, manufacturing processes, and cross-functional SPC reviews.
- Extensive proficiency with Minitab and statistical analysis methods.
- Strong communication, interpersonal, self-motivation, and results-oriented skills.
Culture & Benefits
- Collaborative work with Manufacturing, Process, Quality, and Manufacturing Systems Solutions teams.
- Emphasis on accountability, integrity, trust, creativity, innovation, and excellence.
- Opportunity to set improvement strategies and share statistical knowledge across the organization.
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