Job Description
Operations Data Scientist (d/m/f)
Premstaetten, Austria

Sense the power of light

ams OSRAM is a global leader in innovative light and sensor solutions. “Sense the power of light” – our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

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


  • Degree in Engineering, Physics, Data Science, Mathematics, Statistics, Computer Science, or a related technical field. 
  • Proficiency in Python and SQL, including statistical analysis, machine learning, data visualization, and the development of maintainable applications for operational users. 
  • Strong analytical and structured problem-solving skills, combined with a hands-on understanding of operational workflows and the ability to communicate with shopfloor, engineering, IT, and management stakeholders. 
  • High level of social competence, and collaborative skills, with the ability to build trust, facilitate cross-functional alignment, and communicate effectively with diverse stakeholders. 
  • Experience in semiconductor manufacturing, process engineering, APC, SPC/FDC, yield analytics, equipment data, or fab improvement programs is strongly preferred; experience with Power BI and enterprise data platforms is an advantage. 
  • Fluency in English language, German is an advantage.

 

We offer competitive salaries and additional benefits based on your performance, experience and qualification.
The employment is in accordance with the collective salary and wage agreement for employees of the electrical and electronics industry, employment group G (https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/).
We offer a higher compensation depending on your expertise and skills. 


Please contact Julia Zajac for further information via JULIA.ZAJAC@AMS-OSRAM.COM or +48 (61) 8809988.

ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
Information at a Glance
Job ID:  24329
Posting Start Date:  10/5/26
Job Family:  Operations & Manufacturing
Career Level:  Professional (> 3 years)
Company:  ams-OSRAM AG
Schedules:  Full Time
Work Model:  Hybrid
Job Shift:  Flex time
Regular/Temporary:  Regular
Department:  LSP Yield Engineering & Process Improvement
Local Job Grade:  G

Application deadline: As long as the job is listed on our career page, we are looking for suitable candidates. We look forward to receiving your application.