Data Scientist (m/f)

Job Description

Coherent Corp. is the global leader in photonics, designing and manufacturing advanced laser, optical, and material technologies used by customers worldwide across industrial, communications, electronics, and instrumentation markets.

With a broad global footprint and deep engineering capability, we combine advanced manufacturing, applied innovation, and customer collaboration to deliver high-performance solutions that enable critical technologies and solve complex, real-world challenges.

About Coherent In Switzerland

Coherent Corp. Zurich is a key research and production hub specializing in advanced photonics, engineered materials, and high-power semiconductor laser technologies. Our teams develop and manufacture opto-electronic components and laser diodes for industrial, optical data transmission, life science, and high-precision applications, combining strong in-house R&D with state-of-the-art semiconductor manufacturing in an engineering-led culture.

Location: Zurich, Switzerland (Onsite) | Employment Type: Permanent, full-time

Job Summary

We are seeking a motivated and hands-on Data Scientist to join our team within the Laser Business Unit at Coherent Corp. This role is ideal for someone with strong foundations in machine learning and modern AI techniques (including Generative AI and Agentic AI concepts), who enjoys working close to production environments and real-world manufacturing data. Experience in semiconductor laser manufacturing, VCSELs and edge emitters, is highly desirable.

Key Responsibilities

• Develop, train, and deploy ML models to support process optimization, yield improvement, and quality control in semiconductor laser manufacturing.
• Contribute to the development of AI-powered solutions leveraging modern techniques such as:
• Generative AI / Agentic AI workflows
• LLM-assisted analytics
• Build and maintain reproducible ML pipelines using tools such as Databricks, MLflow, DVC, and Azure DevOps.
• Collaborate closely with production engineers, process experts, and data engineers to translate manufacturing challenges into data-driven solutions.
• Perform feature engineering, model validation, and statistical analysis on manufacturing and reliability datasets.
• Support integration of AI solutions into production workflows and ensure scalability and robustness.
• Participate in experiment design and validation of predictive models.
• Contribute to documentation, version control, and CI/CD best practices within the team.
  

Required Skills And Qualifications

• Experience in AI, machine learning, and deep learning, including production implementation.
• Proficiency in programming languages such as Python.
• Experience with ML libraries such as (Scikit-learn, PyTorch or TensorFlow, XGBoost or similar frameworks)
• Experience with data visualization tools like JMP, Power BI, or Python libraries.
• Experience working with data pipelines and version control tools (e.g., Git)
• Familiarity with modern ML lifecycle tools such as (MLflow, Databricks, DVC, Azure DevOps) or similar CI/CD platforms.
• Understanding of version control systems like Git.
• Understanding of:
• Data preprocessing and feature engineering
• Model evaluation and validation techniques
• Ability to work independently while collaborating in a cross-functional production environment.
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Fluency in English is required; German language skills are an advantage but not essential.
  

Preferred Skills And Qualifications

• Knowledge or experience in:
• Semiconductor manufacturing
• VCSEL or Edge Emitter lasers
• Photonics and applied physics
• Familiarity with Generative AI concepts and LLM-based applications.
• Experience with SQL and structured data environments.
• Basic understanding of cloud platforms (Azure preferred).
• Knowledge of experiment tracking, reproducibility, and ML pipeline automation.
• Understanding of statistical analysis and experimental design.
  

Education And Experience

• Bachelor's or Master's degree in a relevant field (e.g. Computer Science, Data Science, Physics, Material Science, or related disciplines) with 1-3 years of experience in data science or a related role with a focus on ML and DL in a production environment.
• Or aPhD in a relevant field (e.g., Computer Science, Physics, Photonics, Material Science, or related disciplines) will be considered equivalent to professional experience.
  
  

Application Process

All candidates who wish to apply should submit a CV and cover letter outlining their interest in the position and how their skills and experience align with the requirements of the role.

Applications for this role close end of day on Thursday, 30 April 2026.

If you require any adjustments or accommodations during the application process, please reach out to [email protected]. We are committed to creating an inclusive and accessible recruitment experience and encourage applications from individuals of all backgrounds.

About Us

Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program.

Industrial laser systems are used all over the world. With over 30 employees, our site in Belp contributes to the company's success by developing intelligent processing heads and optical components.

It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!

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