Software Engineering Intern (all genders)

Job description

A career at our company is an ongoing journey of discovery: our 60,300 people are shaping how the world lives, works and plays through next generation advancements in Healthcare, Life Science and Electronics. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.

 

Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.

 

Your role:

As a Software Engineer Intern, you can play a key role in how we develop, operate, and scale our innovative data-driven solutions for our customers in the semiconductor industry. Using your software engineering skills, you will write code to implement machine learning libraries and data science applications and support the entire lifecycle of our data analytics pipelines from development to production deployment. Working as part of a global, cross-functional team of specialists from Data Science, Project Management, Manufacturing, Quality Control, and other departments, you will drive data analytics projects across R&D, Quality, and Supply Chain.

We are the vibrant science and technology company. Here at Operations Digital Solutions, we hire curious people from diverse backgrounds who are ready to make an impact. We hire people who like to learn, share, and grow as part of an exceptional team. 

 

Who you are:

· 
Currently enrolled student in Engineering, Computer Science, Math, Natural Sciences or a related technical field with more than six months left before graduation

· 
Hands-on programming experience in Python required; experience with one or more key data science libraries (Pandas, Sklearn, PySpark) and visualization frameworks (Dash, Plotly, Streamlit) desirable; knowledge of SQL or JavaScript is a plus

· 
Solid understanding of software engineering best practices like source control management (git), continuous integration, and test-driven development

· 
Basic knowledge of common data science methods and initial experience in applying machine learning in practice

· 
Highly proficient in spoken and written English

 

What we offer : We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity. We believe that it drives excellence, innovation, and human progress. We care about our customers, patients, and our rich mix of people. This diversity strengthens our ability to lead in science and technology. We are committed to creating access and opportunities for all and empower you to fulfil your ambitions. Our diverse businesses offer various career moves to seek new horizons. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to bring their curiosity to life!

Job Requisition ID:  258289

Location:  Darmstadt

Career Level:  A - Current Student

Working time model:  full-time .buttontext3bd8dd742c10cffa a{ border: 1px solid transparent; } .buttontext3bd8dd742c10cffa a:focus{ border: 1px dashed #eb3c96 !important; outline: none !important; }

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our Candidate Services team at 844-655-6466 from 8:00am to 5:30pm ET Monday through Friday. If you are a resident of a Connecticut or Colorado, you are eligible to receive additional information about the compensation and benefits, which we will provide upon request.  You may contact 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday, for assistance.

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