Senior Data Scientist

Key Responsibilities

• 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.