Data Scientist Predictive Maintenance

2 weken geleden

Veldhoven, Nederland ASML Voltijd

**Introduction to the job**:
Data science at ASML is a broad and demanding domain which is positioned on the crossroads of the functional knowledge of our scanners and the data-driven capabilities on our Data and Digital Platform. A data scientist at ASML is often focused on translating the business problem to a data science problem, and developing fit-for-purpose models and solutions to drive value out of data together with functional experts. Therefore, proven affinity to technical domains like Lithography and preferably working knowledge of at least one relevant functional area at ASML is a prerequisite for being successful in the role of Data Scientist Predictive Maintenance.

Together with Machine Learning Engineers and Data Engineers you will support the implementation of data-driven models and solutions and nurture them towards production to support the operation of the most complex lithography machines in the world.

**Role and responsibilities**:
As a Data Scientist you are responsible for:

- Independent and creative investigation, predictive maintenance modeling and development, remaining useful lifetime, Machine Learning, Signal & Image processing, state space modeling, pattern recognition, feature extraction, evaluation of models, algorithms and pipelines
- Work closely with domain experts to incorporate prior knowledge, find and validate relations between variables and to interpret predictive models
- Ensure documentation and knowledge sharing at various levels in the organization
- Provide quality output with the Agile team
- Competence development of data science
- Share your knowledge and insights with colleagues from different disciplines
- Leverage your professional network to accelerate knowledge and skills build-up

**Education and experience**:
At least University Master’s qualification in Data Science, Physics, Computer Science, Applied Statistics, Applied Mathematics or equivalent and proven Data Science competence applied in an industrial setting for at least 3 years.

**Skills**:

- Proven track record with >3 years of experience in algorithm development experience and/or Statistical Machine Learning on structured and unstructured data, preferably in the high-tech sector, using state-of-the-art machine learning
- Advanced skills and knowledge in Statistical Modeling and Predictive Modeling, Deep Learning, excellent coding skills using state-of-the-art machine learning libraries (e.g. Python/R, Python preferred)
- Hands-on proficiency in frameworks such as Pandas, Scikit-Learn, PyMC, Tensorflow/PyTorch
- Proven affinity to technical domains like Lithography and preferably working knowledge of at least one relevant functional area at ASML like overlay or scanner sub-functions
- Hands-on experience with large-scale computing and machine learning model deployment in production (MLOps) is a plus

Experience or affinity with signal and image processing is needed; in addition, we highly value experience with finding causality in signals, capturing uncertainty in models, Bayesian modeling, optimization problems and diagnostics methodologies

**Additional qualifications for Predictive Maintenance development team**:

- Proven track record in designing, experimenting and building accurate and fit-for-purpose Statistical Machine Learning models
- Ability to create fast prototypes - experiment and iterate towards ideal solution in an Agile/ CRISP-DM manner
- Well versed with the latest GCP offerings like Vertex AI, BigQuery, dataproc, Pub/Sub, DataProc (+++) and experience with Feature Store

**Job Environment**

You will be working in a multi-disciplinary team of data scientists, functional experts, data engineers, machine learning engineers, physicists, computer scientists, and IT engineers to build, deploy and maintain scalable Machine Learning pipelines on various Big Data platforms. The team has been developing powerful predictive and diagnostic software tools that are aiming to uncover causal relationships between complex lithography equipment parameters and system performance. With regards to the current position, the team is engaging on predictive solutions for condition-based maintenance and equipment health monitoring.

**We provide**:

- Work in an open constructive environment with Multi-disciplinary team: Data scientists, data engineers and physicists
- Design and Build Data Science-driven models to optimize some of the most complex machines known to mankind that drive the digitalization of the world

**Context of the position**

Within ASML, the sector Development & Engineering is responsible for the development, specification and design of new ASML products.

Within Development & Engineering, the DATA (Data infrastructure, diagnostics Tooling and Analytics) department delivers and advances state-of-the
- art methods and techniques for the monitoring, diagnostics and structural improvement of the performance and quality of scanner components using scanner data.

The holder of t

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