Principal AI Data Scientist – Wafer Fabrication

Primary Duties & Responsibilities

• Analyze datasets generated by wafer fabrication processes equipment sensors metrology systems and manufacturing execution systems.
• Apply statistical analysis AI machine learning and data-mining techniques for:
  • Deeper understanding of devices and fabrication processes.
  • Process monitoring and anomaly detection
  • Wafer and lot excursion analysis
  • Yield analysis and prediction
  • Root-cause investigation
  • Collaborate with others using AI & ML
  • Integrate data from multiple sources including process recipes equipment logs sensor data metrology results defect inspection and production history.
  • Translate analytical results into clear engineering insights and actionable recommendations.
  • Communicate these findings to engineers and managers.
  • Work with engineers to distinguish correlation from likely physical or process-driven causation.
  • Develop reusable data pipelines analytical tools dashboards and model-monitoring methods.
  • Support design of experiments process characterization and continuous improvement activities.
  • Help establish best practices for data quality feature engineering model validation documentation and responsible use of AI in development and manufacturing.

Education & Experience

• The Candidate will have a minimum of 5 years of experience with AI preferably including ML preferably with experience in statistical analytic techniques.

• A Bachelors degree in Data Science Engineering Science Computer Science or Mathematics is required a Masters degree is preferred.

Skills

The candidate will have competency in several of the following areas:

• Several years of professional experience applying machine learning artificial intelligence advanced statistics and data science to real-world engineering or manufacturing problems.
• Experience with SQL and modern data-processing or data-platform technologies.
• Strong knowledge of statistical methods experimental design regression classification clustering anomaly detection and model evaluation.
• Programming skills in Python and experience with common data-science and machine-learning libraries.
• Experience in AI/ML model deployment through RESTful APIs containerization and container orchestration.
• Experience with cloud-based ML training and inference using AWS GCP Azure or Databricks is a plus.
• Experience working with structured time-series sensor or high-volume manufacturing data.
• Exposure to wafer fabrication photonics and telecommunications is a plus.
• Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
• Demonstrated ability to take an analysis from problem definition through deployment validation and communication of results.

Working Conditions

The job is on-site for the first three months with the possibility to convert to hybrid afterwards. The job requires weekly morning hours and occasional evening and weekend hours. Travel to other Coherent sites in the Bay Area and the US may be possible to share knowledge with other experts.

Physical Requirements

• Sitting or standing several hours per day with the option of having a sit-stand desk.
• Extensive keyboard and mouse work.

Safety Requirements

All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.

Quality and Environmental Responsibilities

Depending on location this position may be responsible for the execution and maintenance of the ISO 9000 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

CultureCommitment

Ensure adherence to companys values (ICARE) in all aspects of your position at Coherent Corp.:

Integrity Create an Environment of Trust

Collaboration Innovate Through the Sharing of Ideas

Accountability Own the Process and the Outcome

Respect Recognize the Value in Everyone

Enthusiasm Find a Sense of Purpose in Work

Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law.