Lead Scientist, Modeling & Simulation (Data Science)

Location: Zhudong, Hsinchu County, Taiwan

Company

hirify.global 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.