SPC Data Scientist I Predictive Modelling

Yer; Veldhoven; Remote; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Pension scheme

Relocation assistance

Dutch language classes

International growth opportunities

Job summary

ASML, headquartered in the Netherlands, is seeking a Senior Data Scientist to turn complex industrial data into actionable insights and ML solutions. You will collaborate across Data Science, Engineering and Predictive Maintenance groups to integrate analytics into ASML’s semiconductor development environment.

Responsibilities include exploratory data analysis, designing advanced analyses, building ML models, and guiding DS teams while contributing to standards and methods.

Qualifications

• Master’s degree or PhD in Data Science, Applied Mathematics, Applied Physics, Statistics, Machine Learning, Signal Processing, Operations Research or related field.
• Professional experience delivering analytics and machine learning solutions in a multidisciplinary industrial environment.
• Advanced programming skills and experience with data cleansing, ETL and statistical and machine learning methods, including model evaluation.
• Ability to design, validate and communicate data-driven solutions with business, engineering and technical stakeholders.
• Strong presentation and stakeholder management skills.
• Experience guiding, mentoring or reviewing the work of other Data Scientists.

Responsibilities

• Exploratory data analysis: Collect and transform complex data from different sources, define data source requirements and scope analyses.
• Advanced analysis: Design and perform tailored analyses using advanced statistical methods and lead design of analysis tools.
• Machine learning: Define problems with stakeholders and design/evaluate algorithms and end-to-end DS solutions.
• Model readiness: Assess data and design models with reuse and productisation in mind.
• Software development and ML engineering: Build widely used software components and support ML productization.
• Documentation and communication: Represent DS in reviews and document investigations and results.
• Technical quality and innovation: Contribute to technical reviews and IP portfolio.
• Coaching and leadership: Mentor Data Scientists and lead DS teams.

Skills

Advanced programming skills

Data cleansing & ETL

Statistical & ML methods

Stakeholder management

Mentoring data scientists

Education

Master’s degree or PhD in Data Science or related field

Tools

Azure

Databricks

Python

Job description

ASML is looking for a Senior Data Scientist to turn complex industrial data into insights and machine learning solutions that support important business decisions.

As a Senior Data Scientist at ASML, you will work within Development & Engineering, in close collaboration with the Data Science & Engineering and Predictive Maintenance & Diagnostics groups. You will connect advanced analytics and machine learning with ASML’s semiconductor development environment.

You will explore complex questions, shape analysis and machine learning approaches, and help turn the results into reliable, reusable solutions. You will also influence how analytics is done at ASML by guiding Data Scientists, contributing to technical standards and helping develop the Data Science competence.

Experience with data science and machine learning in an Azure environment , Databricks and Python toolkits is relevant to the role. Agentic AI skills are a plus.

ASML is a successful Dutch high-tech enterprise that produces complex lithography systems used by chip manufacturers in the production of integrated circuits. ASML is at the cutting edge of this technology and delivers systems to all the world's leading chip manufacturers. ASML's employees are among the most creative talents in the fields of physics, mathematics, chemistry, mechanical engineering and software. Every day they collaborate in close-knit multidisciplinary teams in which members listen to and learn from one another and exchange ideas. It is the ideal environment for professional development and personal growth.

ASML is headquartered in Veldhoven, the Netherlands.

Key responsibilities

• Exploratory data analysis: Collect and transform complex data from different sources, define and validate data source requirements, and scope analyses around business objectives and success criteria.
• Advanced analysis: Design and perform tailored analyses using advanced statistical methods. Review and guide analysis tasks, explain findings to business stakeholders and lead the design of analysis tools.
• Machine learning: Define problems with stakeholders; design and evaluate custom algorithms, models and complete Data Science solutions. Set validation methods that address reliability, robustness and higher-level requirements.
• Model readiness: Assess training data and design models with reuse, extensibility and productisation in mind. Explain model benefits and risks to project stakeholders and subject-matter experts.
• Software development and ML engineering: Build widely used software components, contribute to machine learning coding standards and work with ML Engineers to support the transition of algorithms into products.
• Documentation and communication: Represent ASML Data Science in product and design reviews and at events. Document investigations, feasibility and analysis; communicate technical results to engineers, Data Scientists, architects and technology leaders.
• Technical quality and innovation: Contribute to technical reviews, product and function design documentation, and ASML’s intellectual property portfolio.
• Coaching and leadership: Mentor and guide Data Scientists, lead small to medium-sized Data Science teams and contribute to the competence roadmap.

Must-haves

• A Master’s degree or PhD in Data Science, Applied Mathematics, Applied Physics, Statistics, Machine Learning, Signal Processing, Operations Research or a related field.
• Professional experience delivering analytics and machine learning solutions in a multidisciplinary industrial environment .
• Advanced programming skills and experience with data cleansing, ETL and statistical and machine learning methods , including model evaluation.
• The ability to design, validate and communicate data-driven solutions in collaboration with business, engineering and technical stakeholders.
• Strong presentation and stakeholder management skills, including the ability to explain complex analysis and model results clearly.
• Experience guiding, mentoring or reviewing the work of other Data Scientists.

Aanbod

• A challenging key position within an ambitious and innovative organization, where you help shape (Gen)AI & ML innovation
• A dynamic, multicultural team of engineers, data scientists, and researchers working on real-world AI & ML at the highest level
• Entrepreneurial freedom within the YER framework: space for initiative and professional craftsmanship
• Working in a close-knit, multidisciplinary, and entrepreneurial team where your vision truly matters
• International growth opportunities: development within leading-edge projects in AI, cloud, and software
• An excellent benefits package, including pension scheme and additional perks
• International support, such as Dutch language classes, tax assistance, and relocation guidance to help you quickly feel at home