Senior Data Scientist

Responsibilities include, but not limited to:

Work with an international team of data scientists, data engineers, solution architect, external solution provider, and our stakeholders in construction, facility, planning teams in a collaborative manner to create highly accurate digital twins of our fabs and enable more advanced capabilities, e.g., Photorealistic and physics-based simulation, etc..

• Digital Twin Development

• Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities.

• Integrate IoT sensor data, MES (Manufacturing Execution System) data, and facility data into the digital twin platform.

• Predictive Analytics & Machine Learning

• Develop algorithms for predictive maintenance, throughput optimization, and energy efficiency.

• Apply statistical and ML techniques to forecast equipment failures, cycle time variations, and yield impacts.

• Simulation & Optimization

• 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.

• Data Integration & Visualization

• Design dashboards for real-time monitoring of fab KPIs (e.g., OEE, WIP, energy consumption).

• Collaborate with engineering teams to visualize fab layouts and operational states in 3D environments.

• Collaboration

• 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.

Required Skills

• Strong proficiency in Python, R, SQL, and data engineering.
• 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 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).
• Understanding of 3D modeling and visualization tools (Omniverse, Unity, or similar)