We are looking for a senior digital and data professional who can turn complex operational challenges into scalable analytics, AI, automation solutions used by logistics teams. Lead the design, development and deployment of advanced data analytics, AI-enabled solutions, automation workflows and applications that improve logistics execution, visibility, decision quality and scalability across Taiwan CSCM operations.
Job Scope
• Design and build enterprise-grade dashboards, data models and reporting solutions using Power BI, Microsoft platform, SQL, Python and related technologies.
• Perform advanced data analytics, statistical analysis, predictive modeling to support logistics and supply chain decisions.
• Build scalable data pipelines, self-service reporting capability and KPI governance models for warehouse, transportation, planning and supplier performance.
• Design, develop and maintain business applications to support operational tools for warehouse execution, transportation visibility, field service support, issue reporting, approval flow and frontline logistics use cases.
• Integrate applications with SAP, Alpega, 3PLUS, Microsoft services, APIs, databases, SharePoint, Power Platform and operational data sources.
• Lead the full application lifecycle from requirements, architecture and development to testing, deployment, user adoption and support.
• Identify and deploy AI use cases that create measurable business value for logistics, warehousing, transportation and planning operations.
• Lead proof-of-concept development and scale successful pilots into stable, maintainable production solutions.
• Create documentation, reusable components, development standards and governance practices for sustainable digital products.
• Mentor colleagues and raise team capability in analytics, automation, AI literacy and digital ways of working.
Education
Bachelor degree or above in Computer Science, Data Science, Information Systems, Software Engineering, Industrial Engineering, Operations Research, or a related technical discipline.
Required experience
• 5+ years of experience in advanced analytics, data engineering, software engineering, AI solution design, digital transformation or business application development.
• Strong hands-on programming capability in Python and SQL, plus at least one modern application development language.
• Strong experience with Power BI, Microsoft services, Power Platform or equivalent data and application platforms.
• Experience integrating enterprise systems through APIs, databases, cloud services and workflow automation platforms.
• Track record of delivering business-critical digital solution from concept to production deployment.
• Experience in supply chain, logistics, manufacturing, semiconductor or high-tech environments.
• Experience with SAP integration and operational data platforms.
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
Skills Required
- Bachelor’s degree or higher in Computer Science, Data Science, Information Systems, Software Engineering, Industrial Engineering, Operations Research, or a related technical discipline.
- 5+ years of experience in advanced analytics, data engineering, software engineering, AI solution design, digital transformation, or business application development.
- Strong hands-on programming capability in Python and SQL, plus at least one modern application development language.
- Strong experience with Power BI, Microsoft services, Power Platform, or equivalent data and application platforms.
- Experience integrating enterprise systems through APIs, databases, cloud services, and workflow automation platforms.
- Track record of delivering business-critical digital solutions from concept through production deployment.
- Experience in supply chain, logistics, manufacturing, semiconductor, or high-tech environments.
- Experience with SAP integration and operational data platforms.
ASML Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ASML and has not been reviewed or approved by ASML.
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Healthcare Strength — Health coverage is broad and employer‑funded to a significant degree, with multiple plan options plus mental health and wellness resources. Complementary offerings like onsite/virtual care, HSA contributions, and a gym subsidy strengthen the overall medical package.
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Parental & Family Support — Family‑forming benefits include paid parental leave, adoption assistance, IVF coverage, and practical supports like lactation rooms and milk‑shipment for travel. These provisions indicate substantial caregiving support across life stages.
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Leave & Time Off Breadth — Paid time off can reach a high ceiling when combining vacation and company holidays, with accruals increasing by tenure. Flexible workplace policies and a vacation sell‑back option add usability to the time‑off program.
ASML Insights
What We Do
ASML is a high-tech company, headquartered in the Netherlands. We manufacture the complex lithography machines that chipmakers use to produce integrated circuits, or computer chips. Over 30 years, we have grown from a small startup into a multinational company with over 60 locations across Europe, Asia and the US. Behind ASML’s innovations are engineers who think ahead. The people who work at our company include some of the most creative minds in physics, electrical engineering, mathematics, chemistry, mechatronics, optics, mechanical engineering, computer science and software engineering. Because ASML spends more than €2 billion per year on R&D, our teams have the freedom, support and resources to experiment, test and push the boundaries of technology. They work in close-knit, multidisciplinary teams, listening to and learning from each other.
