Senior Data Scientist

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. Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities. 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. 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. 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. 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). Understanding of 3D modeling and visualization tools (Omniverse, Unity, or similar).