Werkstudent*in Digital Manufacturing

GLOBALFOUNDRIES; Dresden; Hybrid; EUR 20.000 - 40.000; Teilzeit

Zusammenfassung

GLOBALFOUNDRIES seeks a working student in Digital Manufacturing to support the development of data analytics and machine learning solutions. Ideal candidates are enrolled in Computer Science or Engineering, with a strong passion for data processing and relevant technical skills. This role offers valuable experience in the semiconductor industry and flexible working hours in a dynamic team environment.

Leistungen

Flexible working hours with trust flexitime

Home office options

In-house canteen and fitness studio

Attractive compensation

Further training offers

Health promotion offers

Discounts for employees

Qualifikationen

• Knowledge of data processing and visualization techniques.
• Experience with Machine Learning in Python.
• Proficiency in spoken and written English.

Aufgaben

• Support manufacturing teams with Data Analytics and Machine Learning solutions.
• Develop and document applications.
• Visualize data from different sources.

Kenntnisse

Data Extraction

Data Wrangling

Data Visualization

Machine Learning

Python

Communication

Teamwork

Ausbildung

Enrolled in Computer Science or Engineering

Tools

SQL

PySpark

Excel

PowerPoint

Jobbeschreibung

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/