In your new role you will: Utilize statistical analysis, machine learning, and data mining techniques to analyze manufacturing data and identify opportunities for process improvement such that manufacturing equipment are able to self-heal with adaptive process control and optimization. Collaborate with cross-functional teams to gather requirements and understand the manufacturing processes, ensuring alignment with business objectives. Develop and implement advanced process control models to optimize manufacturing processes, improve yield & OEE, and reduce variability. Design and deploy real-time monitoring systems to track key performance indicators and identify anomalies in the manufacturing processes. Work closely with engineering, IT, and operations teams to integrate data-driven solutions into existing manufacturing systems and processes.This includes defining and developing data connectivity and storage strategy. Develop equipment standards and specifications for advanced manufacturing process control. Integrate solution design to support overall lights-out manufacturing automation roadmap. Stay current with industry trends and emerging technologies to continuously enhance and innovate manufacturing data analytics capabilities. You are best equipped for this task if you have: Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering or a related field. Proven experience working as a Process Engineer and Data Scientist in a manufacturing environment. Strong proficiency in statistical analysis, machine learning, and predictive modeling techniques. Expertise in programming languages such as Python for data analysis and modeling. Familiarity with process control systems, sensor data, and real-time analytics in a manufacturing shopfloor environment. Excellent problem-solving and communication skills with the ability to translate complex technical concepts to non-technical stakeholders. Excellent communication and presentation skills. Strong business acumen skills. Team player with strong stakeholder management skills. Our offer in Malacca Wide range of training offers & planning of career development International assignments Different career paths: Project Management, Technical Ladder, Management & Individual Contributor Exempt working hours are flexible within core hours (9am-12pm & 2pm- 5.15pm) Home office options for certain tasks or due to personal circumstances. Applicable to exempt employees working on office hours only. Part-time work possible for exempt employees only. Exempt staff could apply up to 3-month sabbatical leave, subject to business situation Medical coverage In-house clinic operates 24 hours, doctor consultation possible from 9am to 5pm. Health promotion programs Social Recreation Center with facilities, such as gym room, squash, badminton and netball court, zumba and yoga classes, etc. On-site Cafeteria Paid sick leave according to law Additional 3% to Employee Provident Fund after 10 years service with Infineon Malacca. Re-employment opportunities Productivity incentive bonus Bus service for shift employees Allocated carpark for disabled and pregnant employees Driving decarbonization and digitalization. Together. Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors. Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software. We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
