30+ days ago - req33397

Security Data Scientist

Research & development

Other job categories

In a nutshell


Veldhoven, Netherlands


Research & development


3-7 years



Job Category

Other job categories



Introduction to the job

ASML is one of the world’s leading manufacturers of lithography machines, which are an essential component in chip manufacturing. ASML holds a competing position in the growing semiconductor industry, which could never be achieved without a relentless focus on R&D.
In this heavily R&D-driven environment, ASML’s intellectual property (IP) is critical, and therefore, needs to be properly protected. Security Risk Management (SRM) is one of the teams throughout the company that ensure that the risk ASML is exposed to is below its risk appetite, through identification, assessment and mitigation of such risks.
As part of R&D SRM, the role of security data scientist is focused on information protection in the R&D domain. With this role, one is responsible for defining monitoring controls on information access.
The security data scientist will be part of a multidisciplinary team, whose main goals are to develop monitoring tools, design and implement anomaly detection capabilities, and handle IP-related incidents.
The security data scientist will act as contact point between the security community and the business, translating business needs or liabilities into security requirements or use cases for anomaly detection.

Role and responsibilities

As part of this Security Data Scientist profile, you will be responsible for:

  • Interface with the business (senior) management on driving the collection of domain specific use cases
  • Assessing application logging data and advising stakeholders, application owners, and team members on feasible use cases for anomaly detection.
  • Developing, Implementing and improving monitoring tools to strengthen the anomaly detection capabilities within technologies such as Splunk.
  • Collaborating closely with application owners and various IT and business partners by being an adviser in regards to security risk management.
  • Taking part in the security incident process follow up

Job Description

  • Identify and understand data sources in a complex environment.
  • Define logging requirements for applications.
  • Drive the implementation of improved application logging.
  • Represent security risks as use cases for anomaly detection.
  • Work with large, complex data sets.
  • Assess data quality and solve possible data issues.
  • Design and implement use cases.
  • Train, test and deploy machine learning models.
  • Define and implement detection rules in Splunk.
  • Create visualization tools, such as dashboards.
  • Support the investigation of IP-related incidents.
  • Ensure alignment with stakeholders.
  • Embed application logging and anomaly detection solutions in the existing processes and frameworks
  • Ensure compliance with privacy, security policies and standards.

Education and experience

Minimum qualifications:

  • MSc degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics or related field).
  • 3+ years of relevant work experience (e.g. as a data scientist of related role).
  • Proven knowledge and experience in data mining, machine learning and statistics.
  • Proficiency in Python (and/or other statistical software) and common packages (NumPy, SciPy, Scikit-Learn, Pandas,
  • Experience with database languages (such as SQL).
  • Applied experience with machine learning in big data environments.
  • Experience working with large volumes of logging data in Splunk.
  • Applied experience with algorithms for anomaly detection
  • Experience articulating and translating business questions into data-driven solutions.
  • Experience designing and implementing machine learning solutions for real, complex problems.
  • In possession of a valid work permit for The Netherlands.

    Preferred qualifications:
  • Experience with reporting and dashboarding tools such as Microsoft PowerBi.
  • Certifications for Big Data, Data Analytics and/or Splunk.
  • Knowledge/experience in the IT (security) domain.
  • Experience with deep learning frameworks, such as Tensorflow and PyTorch.


Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.
To thrive in this job, you’ll need the following skills:

  • Strong analytical skills.
  • Excellent problem-framing and problem-solving skills.
  • Good coding skills.
  • Agile, flexible, collaborative mindset.
  • Innovative and creative attitude.
  • Pro-active and self-motivated.
  • Good communication and influencing skills.
  • Fluency in written/spoken English.

Diversity & 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.

Other information

You will be employed in the R&D Security Risk Management team, which is part of the Development & Engineering Information Management department. You will be directly reporting to the anomaly detection focus group lead and functionally reporting to R&D Sector Security Risk Manager.
As member of the ASML Security community, you will also collaborate with Security Risk Managers in other sectors.
You will be based in Veldhoven, the Netherlands.

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