Data Scientist Job in San Jose - CA, United States

ASML is one of the world’s leading manufacturers of chip-making equipment.

Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.

ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.

Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.

As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.

But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.

So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.

Data Scientist Job Description

Introduction
ASML brings 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, the Netherlands, and we have 18 office locations around the United States including main offices in Wilton, CT, Chandler, AZ and San Jose, CA.ASML-Brion located in San Jose, CA is seeking highly motivated and talented individuals to join our innovative team of engineers and business professionals to accelerate our leadership in delivering design and Manufacturing solutions to our customers. ASML is the worldwide leader in computational lithography; ASML's Tachyon enables a unique set of capabilities that address the interrelated challenges of design, photomask making and wafer patterning for semiconductor manufacturing.

 Job Mission
ASML-Brion is looking for a data scientist who has a passion to build data products and data systems.  The Data Scientist will be responsible for utilizing disparate data sources in novel ways, with the aim of generating actionable insights. The insights can create new product offerings or improve the capabilities, performance and efficiency of existing products and services throughout the company.  

Job Description
Key Roles and Responsibilities:
-You will collaborate with a cross-functional team of scanner domain experts, data scientists, and software engineers. You will work through the lifecycle of turning the data-driven insights into the final product.
-You will learn state-of-the-art photolithograhpy knowledge from ASML domain experts and identify areas of opportunity and improvement.
-You will work within a team of data scientists, explore large and complex data sets from various sensors monitoring the photolithography process, and experiment relevant Data Mining techniques and/or Machine Learning algorithms to improve the product intelligence. 
-You will work closely with the production software engineering team to deploy the machine learning pipeline into software product.  


 

Data Scientist Job Requirements

Education, Experience & Personal Skills
-M.S. or Ph.D in Computer Science/Engineering/Mathematics/Statistics is preferred. But master applicants with specialization in data science / machine learning track and/or extensive relevant industry experiences are strongly encouraged to apply.
-Solid understanding and hands-on experience with applied statistics and machine learning. 
-Proficiency in at least one of the three scripting languages: Python, R, or Matlab.  
-Good understanding and hands-on experience with relational database such as MySQL or equivalent. 
-Practical experience with data wrangling to prepare data for quantitative analytics and predictive modeling.
-Strong presentation and communication skills.
-Enthusiastic about enabling smart manufacturing and improving product quality control with the power of data science / machine learning. Optional Requirements
-Knowledge and experiences with manufacturing SPC/APC (Statistical/Advanced Process Control) system are highly desirable.
-Experience with deploying predictive modeling pipeline in production is a big plus.
-Good understanding and hands-on experience with numerical optimization.
-Working knowledge about “big data” ecosystem: Hadoop, Hive, and Spark.
-Familiar with at least one programming language such as C/C++ or Java. 

Context of the position
​​​​​​​The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.　
　
-While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.　
-The employee is occasionally required to move around the campus.
-The employee may occasionally lift and/or move up to 20 pounds.　
-May require travel dependent on company needs.　
-Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.　
-Can work under deadlines.　
-The environment generally is moderate in temperature and noise level.　
-Must be able to read and interpret data, information, and documents.
-Can observe and respond to people and situations and interact with others encountered in the course of work.
-Can learn and apply new information or skills.　　

Data Scientist Application Information

 

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