GLOBALFOUNDRIES | Hiring | Engineer Integration & Yield (Data Analytics) | BigDataKB.com | 2022-09-14

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Job Location: Bangalore

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.
  • Supports on statistical techniques, analytics algorithm for semiconductor manufacturing process data to teammates

Required Qualifications

  • B.E./ B.Tech. (with 0-2 years of experience) in Electrical eng, 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

Apply Here

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