SPC Data Scientist I Predictive Modelling

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

De positie

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.

Relevant technology

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.

Wat breng jij

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.