Senior Data Scientist

Introduction to the job

Within ASML the manufacturing sector is responsible for delivering lithography solutions to fulfill our internal and external customers’ expectations. Our global network of factories is crucial in delivering the systems that our customers need. Global Manufacturing BPI & Strategy is the department that focuses on driving business performance improvements and related processes, as well as supporting our strategy and delivering value to our customers and employees. Within the department we are building a new AI-focused competence to unlock the power of data and machine learning. As a Senior Data Scientist, you will play a pivotal role in shaping this team, defining AI strategies, and executing key projects. You’ll work closely with senior stakeholders, translate business challenges into data-driven solutions, and collaborate with the different factories to bring models into production. If you’re a hands-on leader with a vision for AI-driven innovation, this is the opportunity for you!
 

Roles & responsibilities

• Identify AI opportunities, including gathering of requirements, creation of initial hypotheses, organizing workshops and leading the first steps in developing prototypes to inspire stakeholders

• Being and staying up to date with AI technologies and best practices available in the market: outside-in view.

• Drive the development of the AI and Data Science competence within Manufacturing, defining best practices, methodologies, and a long-term vision.

• Lead end-to-end development of machine learning models, Large language Models (GenAI), from problem definition to production deployment.

• Engage with senior stakeholders, aligning AI initiatives with business strategy and ensuring executive buy-in.

• Establish data-driven decision-making within the organization and advocate for AI adoption.

• Work closely with research teams, engineers, and product managers to integrate AI Solutions into practical, real-world applications.

• Provide technical leadership for projects involving fine tuning / alignment of ML / LLM(GenAI) models

• Mentor and guide a team of individual contributors, fostering a culture of excellence and continuous improvement.

Education & Experience

• Technical Master or bachelor degree, preferably in the area of Data Science or Econometrics, Computer Science, Mathematics or Technical Business Administration.

• Experience in applying AI in manufacturing environments

• Overall 10-15 years with 4-7 years of experience in Data Science

• Experience deploying ML models into production and working with MLOps principles.

• Expertise in statistical modeling, predictive analytics, and deep learning techniques.

• Expertise in Natural Language Processing (NLP) techniques, including tokenization, embeddings, attention mechanisms, and sequence modeling.

• Strong SQL skills and Python skills and experience with cloud platforms (AWS, GCP, or Azure).

• Proven experience engaging with senior leadership and influencing AI strategy.

• Ability to build and (co-) mentor a team, fostering a culture of innovation and collaboration.

Skills

• Very strong statistical and mathematical mind

• Strong verbal and written communication skills

• Commercial skills and able to inspire your stakeholders

• Helicopter view and attention to detail

• Strives for continuous improvement

• Challenge stakeholders and work in multi-disciplinary teams

• Inclination for problem-solving

• Fluent in English verbally and written

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.

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