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Statistician (Data Science)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Statistician (Data Science): Designing and applying statistical techniques and algorithms to optimize semiconductor manufacturing processes with an accent on predictive modeling and data-driven decision making. Focus on developing high-performing predictive models, creating data visualizations, and improving Statistical Process Control (SPC) infrastructure.
Location: Hybrid (Kulim, Malaysia)
Company
Foundry focuses on state-of-the-art semiconductor manufacturing and packaging technology for the AI era.
What you will do
- Develop and apply statistical techniques, including multivariate and regression analysis, to derive conclusions from manufacturing data.
- Build high-performing predictive models and data visualizations to address business objectives and client needs.
- Create reports and dashboards to identify patterns and quantify sources of variation in data.
- Collaborate with cross-functional teams to support decision-making through rigorous data collection and analysis.
- Maintain Statistical Process Control (SPC) infrastructure and ensure high standards of data integrity.
- Research new methods in statistics, data science, and machine learning to optimize products and services.
Requirements
- Bachelor's degree in Statistics, Applied Statistics, Data Science, or Applied Mathematics.
- Must be based in or able to work in Kulim, Malaysia (Hybrid model).
Nice to have
- Master's or PhD in a related field.
- Proficiency in Python, SQL, and JMP.
- Experience with Machine Learning and predictive model development.
- Knowledge of semiconductor process capability and manufacturing analytics.
Culture & Benefits
- Hybrid work model allowing employees to split time between the assigned site and off-site work.
- Opportunity to work within a worldwide factory network at a global technology leader.
- Commitment to ethical hiring practices and Responsible Business Alliance (RBA) compliance.
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