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Operations Data Scientist (m/w/x)
Developing AI/ML models for yield prediction and process optimization in semiconductor manufacturing. Python and SQL proficiency for statistical analysis and application development required. Performance-based bonuses and higher compensation based on expertise.
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Anforderungen
- Degree in Engineering, Physics, Data Science, Mathematics, Statistics, Computer Science, or related technical field
- Proficiency in Python and SQL for statistical analysis, machine learning, data visualization, and application development
- Strong analytical and structured problem-solving skills
- Hands-on understanding of operational workflows
- Ability to communicate with shopfloor, engineering, IT, and management stakeholders
- High social competence and collaborative skills
- Ability to build trust and facilitate cross-functional alignment
- Effective communication with diverse stakeholders
- Experience in semiconductor manufacturing, process engineering, APC, SPC/FDC, yield analytics, equipment data, or fab improvement programs (preferred)
- Experience with Power BI and enterprise data platforms (advantage)
- Fluency in English language
- German language skills (advantage)
Aufgaben
- Own development and deployment of APC, run-to-run control, virtual metrology, and predictive models
- Create AI/ML solutions for yield prediction, defect analysis, equipment monitoring, root-cause analysis, and process optimization
- Develop and maintain operational applications for Cpk evaluation, SPC trend analysis, Pareto reporting, and data preparation
- Analyze MES, SPC, FDC, metrology, defect inspection, and equipment data to support operations, improvement, and decisions
- Own business logic, analytical content, validation, and user adoption of data products
- Align data pipelines, hosting, access controls, and enterprise integration with IT standards
- Translate operational problems into sustainable solutions with engineering and manufacturing teams
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Additional benefits based on performance, experience and qualification
- Higher compensation depending on expertise and skills
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Nejo hat diesen Job automatisch von der Website des Unternehmens ams OSRAM GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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The company is a global leader in innovative light and sensor solutions, focusing on digitalization, smart living, energy efficiency, and sustainability.
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