Senior Data Scientist

Introduction

Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.

ASML US, including its affiliates and subsidiaries, bring together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips.

We design, develop, integrate, market, and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics.

Our headquarters are in Veldhoven, Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

Job Mission

ASML is seeking a highly skilled Senior Data Scientist to join our Analysis Group. This role is crucial for driving innovation by applying machine learning and data-driven modeling approaches to complex, physics-based data, particularly in the context of transient data.

The ideal candidate will have a strong foundation in physics-based modeling, such as Partial Differential Equations (PDEs) and Ordinary Differential Equations (ODEs), and experience in developing Reduced Order Modeling (ROM) and machine learning techniques.

This position requires access to controlled technology, as defined in the 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 applicants who are immediately eligible to access controlled technology.

DUTIES AND RESPONSIBILITIES

• Develop and implement machine learning models to analyze and interpret physics-based transient data.
• Apply data-driven approaches, Neural Networks and Reduced Order Modeling (ROM) techniques to enhance the understanding and prediction of time dependent physical phenomena.
• Integrate machine learning models with traditional physics-based models including ROM to create hybrid models for transient analysis.
• Collaborate with cross functional teams, including CFD, FEA and Thermal analysis experts, to define and execute project requirements.
• Utilize advanced programming skills to create scalable, efficient, and accurate models, primarily using Python.
• Interpret and communicate complex model results to technical and non-technical stakeholders.
• Perform other duties as assigned.

Education and Experience

• Formal education in Data Science, Applied Mathematics, Engineering or related field.
• Master degree with 5+ years of relevant experience, or PhD degree with 3+ years of relevant experience.
• Experience in applying machine learning / data-driven modelling approaches to physics-based data (simulation data, experimental data).
• Understanding of physics-based modelling (PDEs, ODEs, CFD, FEA).
• Expertise in Physics-Informed Neural Networks / Physics-based machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong background in data analysis, statistical modeling and ROMs.
• Understanding of numerical methods and scientific computing.
• Strong proficiency in Python, and knowledge of MATLAB programming.

Skills

• Experience working in a team and ability to mentor younger engineers and technicians.
• Strong time management skills in managing multiple projects / activities in parallel.
• Excellent written and verbal communication skills.

Other Information

This position is located on-site in San Diego, CA. It works on a hybrid schedule of 3 days onsite, 2 days remote. It requires onsite presence to attend in-person work-related events, trainings, and meetings and to further ensure teamwork, collaboration, and innovation.

Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.

Occasionally required to move around the campus.

Occasionally lift and / or move up to 20 pounds.

Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses, and gloves for the entire duration of the shift.

EOE AA M / F / Veteran / Disability

Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role.

All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.

Compensation

The current base annual salary range for this role is currently : $114,375-190,625. Pay scales are determined by role, level, location, and alignment with market data.

Individual pay is determined through interviews and an assessment of several factors unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate, and pay relative to other team members.

The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company’s 401k plan.

Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year.

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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