AI & Digitalization Specialist

Veldhoven, Building 08, 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

ASML's mission is to provide leading patterning solutions, together with our partners, that drive the advancement of microchips. And the corporate marketing team within ASML is responsible for evaluating the potential opportunity for these solutions across ASML's core markets.

We are seeking an Artificial Intelligence (AI) and Digitalization Specialist to join the Corporate Marketing Department. The successful candidate will be responsible for developing and implementing AI/automation & digitalization solutions (in collaboration with ASML’s central IT organization) to optimize the aforementioned evaluation process. In addition, the candidate must possess a deep understanding of data-driven technologies and proven track record in implementing initiatives that drive

Role and responsibilities

  • Design and deploy machine learning models to analyze end-market demand trends, semiconductor industry roadmaps and value
  • Conduct / facilitate data mining and big data analysis to identify trends and insights that can lead to cost reductions and improved safety measures
  • Lead the development and execution of data automation strategies to enhance operational efficiency and decision-making processes
  • Design and implement robust data management systems that ensure data integrity, quality, and accessibility across the organization
  • Collaborate with cross-functional teams to identify opportunities for process improvements and digital transformation
  • Develop and oversee the integration of advanced analytics, machine learning models, and AI to optimize corporate marketing activities
  • Ensure compliance with industry standards and regulations related to data security and privacy
  • Provide expert guidance and support in the deployment of digital solutions
  • Communicate findings and recommendations to non-technical stakeholders, translating complex AI concepts into actionable business strategies

Education and experience

  • Bachelor of science in computer science engineering or related engineering or data science discipline from an accredited university, MSc or PhD is a plus
  • Minimum of 5 years of experience in data automation and digitalization, preferably within the semiconductors industry
  • Strong knowledge of data modeling (in particular MS Excel), database design and data warehousing principles (SAP S/4 HANA)
  • Experience with data visualization tools and platforms (In particular Power BI and Spotfire)
  • Familiarity with cloud computing services (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark)
  • Proficiency in programming languages such as Python, R, or SQL

Skills

  • Excellent project management skills and the ability to lead complex digital transformation projects
  • Strong analytical and problem-solving abilities, with a keen attention to detail
  • Exceptional communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders

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: Deep Learning Jobs

Tags: AWS Azure Big Data Computer Science Data analysis Data management Data Mining Data visualization Data Warehousing Engineering Excel Hadoop Machine Learning ML models PhD Power BI Privacy Python R Security Spark Spotfire SQL

Perks/benefits: Career development

Region: Europe
Country: Netherlands

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