About GF

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors the world relies on to live, work and connect. We innovate and partner with customers to deliver more power-efficient, high-performance products for the automotive, smart mobile devices, internet of things, communications infrastructure and other high-growth markets. With our global manufacturing footprint spanning the U.S., Europe, and Asia, GF is a trusted and reliable source for customers around the world. Every day, our talented and diverse team delivers results with an unyielding focus on security, longevity, and sustainability. For more information, visit www.gf.com.

Introduction

As a working student in the Digital Manufacturing organization, you will be a member of a highly skilled team working on the development of Data Analytics and Machine Learning solutions which support the manufacturing teams. The focus lies on using the available data and extracting more information using different analytics and Machine Learning algorithms, as well as combining and visualizing data from different sources.

Job Profile

Data Extraction, Data Wrangling, Data Visualization

Machine Learning modeling

Coding/Developing of front-end or back-end parts of applications

Communication with domain experts to understand functionality requirements

Documentation of built application

Required Qualifications

You are enrolled at a university in one of the following fields of study: Computer Science or Engineering

You want to gain your first experience in the semiconductor industry in order to start your career.

You are passionate about working with data and data processing

You have knowledge in the field of developing data processing and visualization

In addition, you may have knowledge about building web-dashboards

Good Python knowledge and experience with Machine Learning using python is a must

Basic knowledge about DataBases and SQL is a must

PySpark experience is a big plus

We are looking for an open-minded team player with good communication skills who can also share ideas and pass on results within the team.

Proficiency in written and spoken English and knowledge of standard office software (Excel/PowerPoint) is desirable.

Time period

immediately, limited for at least 6-12 months, extension possible.

15-20 hours per week

Benefits

Become part of an open and dynamic team

Independent work in trust flexitime as well as home office

Use of further training offers

Attractive compensation

In-house canteen, fitness studio and physiotherapy

Other attractive benefits such as offers to promote your health or various discounts for employee

Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/