Data Scientist

Coherent is a global leader in photonics, developing advanced laser, optical and materials technologies that enable semiconductor manufacturing, AI infrastructure, advanced communications and precision industrial applications worldwide.

Data Scientist

Join our Semiconductor Devices team in Zurich and help transform manufacturing through the power of AI, machine learning, and advanced analytics. In this role, you'll develop production-ready data science solutions that improve product quality, increase manufacturing efficiency, and enable smarter decision-making across our global operations. Working closely with production and engineering teams, you'll solve real-world challenges using machine learning, deep learning, computer vision, and modern data engineering practices.

What You’ll Be Doing

• Develop, deploy, and maintain machine learning and deep learning models to solve complex manufacturing and production challenges.
• Build predictive analytics solutions that improve process performance, product quality, yield, and throughput.
• Collaborate with production, process, and product engineering teams to identify opportunities where AI and data science can drive measurable business impact.
• Design and execute experiments to validate models and continuously improve their performance.
• Analyze large and complex datasets from production equipment, manufacturing systems, and operational databases.
• Integrate new data sources from manufacturing equipment, machine logs, and shop-floor systems into the analytics environment.
• Develop and maintain scalable batch and real-time data pipelines across on-premise and cloud platforms.
• Monitor, troubleshoot, and optimize deployed models and data pipelines to ensure reliability and performance.
• Apply data governance and data quality standards to support robust analytics and reporting.
• Provide technical expertise and guidance to colleagues on machine learning, deep learning, and data engineering best practices.

What You’ll BringRequired Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Physics, Material Science, Engineering, or a related technical discipline.

• 3+ years of experience in Data Science or a related field, including the deployment of machine learning models in a production environment.

• Strong experience with machine learning and deep learning techniques and frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn.

• Proficiency in Python for data analysis, model development, and automation.

• Hands-on experience with SQL and relational databases.

• Experience building and maintaining ETL/ELT pipelines and supporting data-intensive production environments.