Lead Scientist, Modeling & Simulation

Job Title

Lead Scientist, Modeling & Simulation

Job Description

The Role: (L4) Data Scientist at TTC

• A bridge between RD/manufacturing processes and data/ML
• Responsible for extracting insights from large, heterogeneous datasets
• Collecting, cleaning, and transforming large datasets
• Building statistical / ML models
• Identifying patterns and trends for business or engineering decisions
• Delivering predictive models, process optimization, and decision support
• Communicating insights to cross-functional stakeholders

In this role you will

• Work with RD, process engineers, equipment engineers and IT in the following areas and translate RD/engineering problems into data science frameworks.
• Support the integration of datasets from multiple engineering/RD domains for data science applications (statistics, AI/ML, time-series analysis … ).
• Develop models for yield, quality, and defect prediction to support root cause analysis and anomaly detection for improvement in process control and productivity.
• Build predictive models and deploy ML pipelines in production environments to support the development of AI-enabled solutions.
• Develop physics-informed ML models or design new modeling approaches integrating computational simulation data and experimental data to solve scientific /engineering problems.

Traits we believe make a strong candidate

• G ood communication skills in both Mandarin and English .
• A team player able to work with different stakeholders in diversified task forces.
• Experiences in chemical manufacturing, semiconductor manufacturing or related fields.
• Master ’ s degree or PhD in data science, computer science, industrial engineering, chemical engineering, chemistry, physics or related fields.
• Proficiency in collecting, cleaning and transforming large datasets and building data models based on statistics, AI/ML etc.
• Proficiency in tools such as Python, R, TensorFlow, PyTorch , SQL or Tableau.
• Ability to do research independently to identify optimal solutions / approaches for target scientific or engineering problems.

Your success will be measured by

• Able to collaborate with diversified team members or stakeholders and deliver quality results on time.
• Able to probe stakeholders ’ needs and translate their problems into data science frameworks.
• Accountable for delivering high quality data science solutions for target problems.
• Dedicated to improving solution quality continually.
• Determined to attack difficult challenges with perseverance and creativity.
• Passionate to explore and develop data science applications in different areas.
• Curious to dive deeper into data science domain and keep abreast of latest developments.
• Motivated to acquire new knowledge and skills and apply them in solution development.
• Able to accept coaching and grow himself/herself continually with a growth mindset .