Data Scientist

Coherent Corp.; Zürich; On-site; CHF 120,000 - 170,000; Full time

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

Job Description

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.

Required 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.
• Knowledge of data preprocessing, feature engineering, model evaluation, and model lifecycle management.
• Experience with Databricks, MLflow, or similar machine learning platforms.
• Understanding of data modelling, data quality, and data governance principles.
• Strong analytical and problem-solving skills with a structured, detail-oriented approach.
• Excellent communication skills and the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Qualifications

• Experience within semiconductor manufacturing, advanced manufacturing, or another highly automated industrial environment.
• Experience with computer vision, image analysis, or defect detection applications.
• Familiarity with cloud platforms such as AWS or Azure.
• Experience with big data technologies such as Spark, Hadoop, Apache Delta, Kafka, or Flink.
• Knowledge of data lakehouse architectures and modern data platforms.
• Experience with CI/CD pipelines, GitLab CI, or software development best practices.
• Understanding of software development lifecycle (SDLC) principles.
• Familiarity with statistical analysis and data mining techniques.
• German language skills are advantageous.

Why Join Us?

• Work on cutting-edge AI solutions with direct impact on manufacturing performance and product quality.
• Apply machine learning and data engineering to real-world production challenges at scale.
• Collaborate with multidisciplinary teams of engineers, scientists, and manufacturing experts.
• Influence the future of semiconductor manufacturing through innovation, automation, and advanced analytics.
• Join a highly technical environment where your work delivers measurable business outcomes every day.

What We Offer

Our benefits vary by country and role. Depending on your location, your package may include:

• Competitive base salary and annual incentive eligibility
• Employer-supported pension or retirement provision
• Health, wellbeing and employee-assistance programmes
• Life and income-protection benefits
• Flexible-working arrangements, where compatible with the role
• Learning and professional-development opportunities
• Employee recognition and share programmes

Our ICARE Values

How We Work Is Just As Important As What We Achieve. Everyone At Coherent Is Expected To Demonstrate Our ICARE Values

• Integrity – Create an environment of trust
• Collaboration – Innovate through the sharing of ideas
• Accountability – Own the process and the outcome
• Respect – Recognise the value in everyone
• Enthusiasm – Find a sense of purpose in work

We are committed to providing an inclusive and accessible recruitment experience and welcome applications from people 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. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!