30+ days ago - req6197
Research & Development
In a nutshell
San Jose - CA, US
Research & Development
Physics, Physics, Physics
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, San Jose, CA and San Diego, 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.
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.
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.
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.
-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.
EEO/AA (W/M/Vets/Disability) Employer