Senior data scientist

Key Responsibilities

• Build and maintain data-driven models representing fab processes, equipment behavior, and subfab utilities within the digital twin platform.
• Integrate IoT sensor data, MES (Manufacturing Execution System) data, and facility data into the digital twin platform.
• Develop algorithms for predictive maintenance, throughput optimization, and energy efficiency using statistical and ML techniques.
• Apply machine learning to forecast equipment failures, cycle time variations, and yield impacts.
• Use simulation tools (e.g., NVIDIA Omniverse) to run what-if scenarios for layout changes, capacity planning, and process improvements.
• 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.