ASML is one of the world’s leading manufacturers of chip-making equipment.
Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.
ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.
Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.
As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.
But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.
So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.
Introduction
Eager to improve processes based on data analytics? Love to apply AI and BI technologies to improve process efficiency? As Data Scientist you are the front runner in applying data analytics in our processes.
Job Mission
Improve process efficiency and provide decision support through data analytics.
Job Description
Responsible for:
Education
Master degree in Data Science, Mathematics, Economics, Econometrics, Information Management or similar. Ideally followed up with relevant courses on process automation, data analytics and/or Continuous Monitoring.
Experience
Context of the position
The Data Scientist is part of the Employee Benefits Administration. The Corporate Finance Organization is responsible for providing business support, performance measurement and planning, internal controls accounting and compliance, internal administrative processes, tax, and treasury.
The Employee Benefits Administration is responsible for the management of highly automated processes for European and Asian Payroll, Global Business Travel & Expenses, Time and attendance and the Global Share and Option administration. The Employee Benefits administration interacts with various internal departments (e.g. Finance, Tax, Treasury and HR&O) and external parties (e.g. salary agency, Travel agency, Expense, Time, Share and Option systems and external Accountants)
The Data Scientist reports to the Sr. Manager Employee Benefits Administration. He/she interacts with various departments and layers in and outside of finance.
Other information
Sector information
ASML’s finance department drives the company, because the cyclical nature of the semiconductor industry makes long-term financial planning and strategic control critical to our business success. Like our lithography equipment, our financial strategies, methods and tools (largely SAP based) are truly world-class. ASML is regularly cited by The Hackett Group as an example of best-practice financial management. We are consistently one of the first major European companies to announce our quarterly results.
If you’re the type of person who wants the satisfaction of being in a smaller more closely knit team, then a finance job at ASML could be a life-changing experience. You’ll face demanding challenges and enjoy the freedom to put together highly creative solutions. With ASML’s financial headquarters just a short walk from its manufacturing and R&D facilities, you’ll be working extremely closely with the business and able to see your ideas put into action.
Education Backgrounds: |
Business Engineering Mathematics |
Specialties: |
Management Process Management |
Education Level: |
Postgraduate (Masters) |
Experience: |
2 - 5 years |
Languages spoken: |
English |
Job Location: | Veldhoven, Netherlands |
Keywords: | Data Science, Mathematics, Economics, Econometrics, Information Management |
Type: Job
Deadline: 9th October 2019
Job reference (ID): 17788
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