About the role

AI summarised

The Senior Data Scientist will develop and maintain data-driven digital twin models for semiconductor fabrication facilities, integrating IoT, MES, and facility data to enable predictive analytics, simulation, and optimization of fab operations. This role involves collaboration with international teams of engineers, data scientists, and stakeholders to improve productivity, energy efficiency, and process reliability through AI and Industry 4.0 initiatives.

IDMOnsiteSmart MFG/AI

Key Responsibilities

Work with an international team of data scientists, data engineers, solution architects, external solution providers, and stakeholders in construction, facility, and planning teams to create highly accurate digital twins of fabs
Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities
Integrate IoT sensor data, MES data, and facility data into the digital twin platform
Develop algorithms for predictive maintenance, throughput optimization, and energy efficiency using statistical and ML techniques
Use simulation tools (e.g., NVIDIA Omniverse) to run what-if scenarios for layout changes, capacity planning, and process improvements
Optimize fab workflows for cost, energy, and productivity
Design dashboards for real-time monitoring of fab KPIs such as OEE, WIP, and energy consumption
Collaborate with engineering teams to visualize fab layouts and operational states in 3D environments
Work closely with process engineers, facility planners, and IT teams to ensure seamless integration of digital twin solutions
Support cross-functional projects involving AI, automation, and Industry 4.0 initiatives

Requirements

Master’s/Bachelor’s degree in Operations Research, Computer Science, Data Science or other quantitative disciplines with strong emphasis on optimization, simulation, and algorithmic problem-solving
3+ years of experience in 3D modeling and simulation (Omniverse, or similar)
Strong proficiency in Python, R, SQL, and data engineering
Experience with machine learning frameworks (TensorFlow, PyTorch) and simulation tools
Knowledge of semiconductor manufacturing processes and fab operations
Familiarity with IoT data pipelines, MES systems, and cloud platforms (AWS, Azure)