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.

  • Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​
  • Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.​

Required Skills

• 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)