AI Data Scientist for Semiconductor Manufacturing

Coherent Corp.

Zürich

On-site

CHF 120,000 - 170,000

Full time

2 hours ago
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Benefits offered by this job

Competitive salary
Pension plan
Health benefits
Flexible-working arrangements
Learning opportunities
Employee recognition

Job summary

Coherent Corp. is seeking a Data Scientist in Zurich to develop production-ready AI solutions that improve product quality and manufacturing efficiency.

You will work with production and engineering teams to solve real-world challenges using ML, DL, and data engineering practices. You will design experiments, build predictive analytics, and integrate new data sources from equipment and systems into scalable pipelines across on-prem and cloud platforms.

Qualifications

  • Bachelor's or Master's degree in a technical field.
  • 3+ years of Data Science experience with production ML deployments.
  • Strong Python, SQL, and ML/DL technique knowledge.
  • Experience with ML platforms like Databricks or MLflow.

Responsibilities

  • Develop, deploy, and maintain ML models for manufacturing.
  • Build predictive analytics to improve process performance and yield.
  • Collaborate with production and engineering teams to drive impact.
  • Design experiments to validate models and monitor performance.
  • Ingest data from production equipment and shop-floor systems.

Skills

Python
SQL
ML/DL
TensorFlow/PyTorch
Data visualization
Problem solving
Communication
Cloud platforms

Education

Bachelor's or Master's in CS/DS/Physics/Engineering

Tools

Databricks
MLflow
Scikit-Learn
Spark
Kafka

Job description

Coherent Corp. is seeking a Data Scientist in Zurich to develop production-ready AI solutions that improve product quality and manufacturing efficiency.

You will work with production and engineering teams to solve real-world challenges using ML, DL, and data engineering practices. You will design experiments, build predictive analytics, and integrate new data sources from equipment and systems into scalable pipelines across on-prem and cloud platforms.

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