обновлено 10 дней назад
Lead Scientist, Modeling & Simulation (Data Science)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Scientist, Modeling & Simulation (Data Science): Building statistical and machine learning models and production ML pipelines for yield, quality, and defect prediction in chemical and semiconductor manufacturing with an accent on integrating engineering, experimental, and computational simulation data. Focus on developing physics-informed ML models, detecting anomalies and root causes, and translating scientific and engineering problems into data science frameworks.
Location: Zhudong, Hsinchu County, Taiwan
Company
supports chemical and semiconductor manufacturing through research, engineering, and data science applications.
What you will do
- Translate R&D, process engineering, equipment engineering, and IT problems into data science frameworks.
- Integrate heterogeneous datasets from multiple engineering and R&D domains for statistical, AI/ML, and time-series applications.
- Develop yield, quality, and defect prediction models for root cause analysis, anomaly detection, process control, and productivity improvement.
- Build predictive models and deploy machine learning pipelines in production environments.
- Develop physics-informed ML models that combine computational simulation data with experimental data.
- Communicate insights and solutions to cross-functional stakeholders.
Requirements
- Master’s degree or PhD in data science, computer science, industrial engineering, chemical engineering, chemistry, physics, or a related field.
- Experience collecting, cleaning, and transforming large datasets and building statistical or AI/ML data models.
- Proficiency with Python, R, TensorFlow, PyTorch, SQL, or Tableau.
- Ability to conduct independent research and identify solutions for scientific or engineering problems.
- Experience in chemical manufacturing, semiconductor manufacturing, or a related field.
- Good communication skills in both Mandarin and English.
Culture & Benefits
- Cross-functional collaboration with R&D, process engineering, equipment engineering, IT, and other stakeholders.
- Opportunities to develop data science applications across scientific and engineering domains.
- Emphasis on continual improvement, independent problem-solving, creativity, and a growth mindset.
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