Data Scientist

Job id: HRC1842324

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#WeAreIn for jobs that impact everyone's life.

Optimize. Innovate. Deliver. Join us in redefining manufacturing excellence.

As a Senior Staff Engineer Performance Engineering on our Manufacturing and Operations team, find yourself in a high-tech world where silicon wafers evolve into cutting-edge products. In our advanced cleanroom environment, every detail counts, and your expertise will help shape the future, one innovation at a time.

Are you in?

Your role

As part of the Equipment Performance Engineering Team within Central manufacturing Engineering (CME), you will drive data-driven improvement initiatives across Frontend Manufacturing. In this role, you will combine project leadership, advanced analytics, and performance management to support operational excellence and increase equipment performance and profitability.

Key responsibilities in your new role

• Lead and drive sub-projects and improvement initiatives within the Maintenance & Equipment Engineering organization
• Develop, sustain, and continuously improve KPI reporting solutions to enable data-driven decision-making across multiple Frontend sites
• Coordinate gap analyses and root cause investigations to identify performance improvement opportunities and ensure sustainable implementation of corrective actions
• Analyze operational and equipment-related data to identify trends, uncover optimization potential, and contribute to profitability improvements
• Collaborate with cross-functional and international teams to standardize reporting, methodologies, and best practices
• Support the definition and monitoring of key performance indicators (KPIs) for maintenance and equipment engineering processes

Your profile

Qualifications and skills to help you succeed

• A degree from a university or university of applied sciences in Industrial Engineering, Technical Informatics, Business Informatics, Data Analytics, Mathematics, Statistics, or a comparable field
• 5+ years of experience in semiconductor manufacturing
• Experience in Maintenance Engineering (MNT) and/or Unit Process Engineering (UPE)
• Strong analytical thinking and problem-solving skills with the ability to transform complex data into actionable insights
• A high level of data affinity and enthusiasm for data-driven decision making
• Preferred vibe-coding and AI assistant knowledge
• Experience with SQL, Tableau, and project management methodologies
• Knowledge of statistical analysis and reporting concepts
• Excellent communication and stakeholder management skills in an international environment
• Very good English language skills; German is considered a plus

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-H (https://www.feei.at/leistungen/informations-service/mindestlohne-und-gehalter). The monthly salary is paid 14 times p.a. We offer a higher compensation depending on your expertise and skills.

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https://www.infineon.com/jobs