Job
- Level
- Experienced
- Location
- Premstätten
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will develop data-driven solutions to enhance process stability, yield, and quality in semiconductor manufacturing while closely collaborating with engineers, manufacturing teams, and IT.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Degree in Engineering, Physics, Data Science, Mathematics, Statistics, Computer Science, or a related technical field.
Qualifications
- 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.
- Fluency in English, German is an advantage.
Experience
- 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.
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What we offer
- 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.
- We offer a higher compensation depending on your expertise and skills.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
ams AG
We take sensing to the next level by providing a seamless interface between humans and technology. We enable our customers to create highly differentiated products that are smarter, safer, easier to use and more eco-friendly.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization, Trade, Internet, IT, Telecommunication
Operations Data Scientist
- Location
- Premstätten
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
