Job Title: Principal Automation & Analytics Engineer
Introduction
This position is for a Data Scientist role to contribute as principal technical expert in the advanced analytics domain for GLOBALFOUNDRIES’ state of the art 300/200mm wafer fabs. Individuals will be part of a core team establishing a Data Analytics platform. Individuals will partner with users to identify strategic opportunities and innovation ideas. Individuals will then work on transforming ideas into working solutions alongside local and global cross functional teams from GlobalFoundries, developing advanced analytics algorithms, including development of Machine/Deep Learning algorithms.
Roles & Responsibilities
● Passionate about data science and technology, staying abreast with industry trend and technology roadmap in Data analytics, Applied Statistics and Mathematics
● Develop/Prototype algorithms to drive insights and opportunities by harnessing diverse data arrays like electrical test data, inline measurements, tool sensor outputs etc. originated through semiconductor manufacturing process.
● Individuals will be part of a team that is responsible for governing methodology in advanced analytics and automation.
● Work with cross-functional teams to identify the areas of automation and develop corresponding algorithms to implement ideas bringing incremental contribution in the remote Fab support.
● Mentors and coaches on statistical techniques, analytics algorithms, semiconductor manufacturing process to new hires and teammates
Required Qualifications
● B.E./ B.Tech. (with 5 – 6 years of experience) / M.Tech. (3 – 4 years of experience) / PhD (0-2 years experience) in Electrical engg, Applied Physics, Instrumentation, Computer Science, Applied Mathematics, Applied Statistics or Data Science.
● Strong coding skills with R or Python are must and eager to learn/work on cross language platforms.
● Mastery of Applied Statistics and demonstrated expertise in at least one of the following is a must: statistical classification, cluster analysis, time series analysis, Bayesian modeling, and multivariate statistics
● Profound understanding of underlying basics of general ML/Deep learning algorithms and insight of their implementation and programing is necessary.
● Excellent Communications and strong Interpersonal skills
Preferred Qualifications
● Excellent hold on data visualization and interpretation with R, Python or other open-source tools and APIs.
● Practical experience with deep learning frameworks like TensorFlow, PyTorch, Keras and other similar frameworks is added plus.
● Experience in implementing full Life Cycle of Data Science with knowledge on solution deployment
● Experience in data transformations, preparations, cleansing, data mining using programming language like R, Python, Scala and/or Java on large datasets
Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia
Changing the world from the inside out
Join the team that’s moving the world forward.
What makes GlobalFoundries different? Our advanced operational and technology capabilities are made available through a global manufacturing network, anchored by facilities in Singapore, Dresden (Germany), Burlington (Vermont) as well as East Fishkill and Malta (New York).
At GF, we make things that matter — from the solutions that enable the way we live today, to the technologies that drive what’s possible for tomorrow.
Our people bring this power to life. A diverse and global team representing the best in the industry, we are united by our dedication to excellence and our desire to improve and empower the world.
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