Data Scientist

Eindhoven, Building 25, Netherlands

ASML

ASML gives the world's leading chipmakers the power to mass produce patterns on silicon, helping to make computer chips smaller, faster and greener.

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Introduction to the job

Within our On Product Analytics group, we develop Analytics & Control solutions for diagnosing issues and enhancing the accuracy and stability of semiconductor wafer pattering process. We are seeking a highly motivated Data Scientist to join our Applied Data Science team. We are interested in individuals with strong knowledge and experience in developing and evaluating Machine Learning & Data Mining algorithms as well as a broad interest in data handling, modeling and visualization.

Role and responsibilities

You will play a critical role in developing Machine Learning and data mining solutions. This involves leveraging vast datasets from our scanners and metrology tools, combined with fab operational data, to uncover hidden correlations and build robust, adaptive models capable of handling uncertainty.

Your responsibilities will include:

  • Designing, developing and evaluating fit-for-purpose and domain-driven machine learning data mining, and algorithm solutions for ASML products and services.
  • Designing data analytics and control solutions using Machine Learning and building predictive models to optimize semiconductor manufacturing processes.
  • Perform state-of-the-art advanced statical analysis with limited supervision
  • Deliver and explain technical analysis results to domain engineers, data scientists and architects
  • Collaborate with data engineer(s) and/or business analyst(s) to define needs for data collection and data pipelines and/or user interfaces and deliver prototype modelling for implementation and industrialization
  • Collect and transform complex datasets multiple heterogenous data sources
  • Validate trained models and choose that  trade-off points using pre-aligned performance metrics in the context of the business use-case
  • Communicate clearly the benefit and the risk of the developed model with project stakeholders and impacted subject matter experts.
  • Collaborate on developing analysis scripts and libraries using SW developments tools with limited supervision
  • Participating in the industrialization of ML algorithm
  • Contribution to IP portfolio an innovation

Education and experience

  • Ph.D. in Machine Learning/Data Science
  • Experience in software development, strong coding skills, in a.o. Matlab, R, and Python
  • Ability to communicate complex mathematical concepts in a clear and precise manner
  • Handle, analyze and visualize complex, high-volume, high-dimensional data from varying sources

Skills

  • Enthusiastic and intrinsically motivated; creative thinker
  • Good & proactive communication in an international and multidisciplinary environment
  • Taking responsibility, self-propelling
  • Goal-oriented and flexible mindset, willing to acquire lithography and other semiconductor manufacturing knowledge

Other information

You will be a member of the Applied Data Science team in SW cluster of Development & where you will interact with your peer data scientists and data engineers. You will also be part of a multidisciplinary product development team, interacting with other departments (such as domain experts, software development and customer support). Travelling a few times per year to customers worldwide can be part of the job.

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Data Analytics Data Mining Data pipelines Machine Learning Matlab Pipelines Python R

Region: Europe
Country: Netherlands

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