Operations Data Scientist (d/m/f)

The ams OSRAM Group is a global leader in innovative light and sensor solutions. As a specialist in Digital Photonics, we combine technological excellence with state-of-the-art global manufacturing capabilities to offer our customers the broadest portfolio of digital emitter and sensor technologies. Globally, our teams develop groundbreaking solutions aligned with societal megatrends like intelligent mobility, artificial intelligence, augmented reality, smart health, and robotics.

At ams OSRAM, employees are part of a highly innovative, international technology environment. Diverse teams, a high degree of ownership, and exciting challenges provide the opportunity to grow, develop, and make a real difference. Because behind our innovations are people who carry something special inside and who bring their unique strengths to work every day.

Show the world what you are made of.

Your new responsibilities

Embedded within Fab Operations, this role develops and deploys data-driven solutions that directly improve process stability, yield, quality, equipment performance, and operational efficiency. The position works closely with engineering and manufacturing teams, while partnering with IT on infrastructure, cybersecurity, architecture, and enterprise standards.

• Own the operational development and deployment of the integrative aspects of Advanced Process Control (APC), run-to-run control, virtual metrology, and predictive process models for priority fab processes.
• Create AI and machine learning solutions for yield prediction, defect analysis, equipment monitoring, root-cause analysis, and process optimization, based on priorities defined by Fab Operations.
• Develop and maintain lightweight operational applications that standardize and automate recurring engineering analyses, including Cpk evaluation, SPC trend analysis, Pareto reporting, and data preparation.
• Analyze MES, SPC, FDC, metrology, defect inspection, and equipment data to support daily operations, excursion management, continuous improvement, and management decisions.
• Own the business logic, analytical content, validation, and user adoption of operational data products; align data pipelines, hosting, access controls, and enterprise integration with IT standards.
• Work directly with Process, Yield, Defect, Metrology, Equipment, and Manufacturing teams to translate operational problems into sustainable solutions, with IT acting as the partner for platforms, infrastructure, security, and support models.

Who we are looking for

[[custUSQual]]

Please contact [[recruiterName]] for further information via [[recruiterEmail]] or [[recruiterPhone]].