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Jobs & Functions: Data Science

Are you looking for an environment that lets you harness the power of market, customer, device, and other data with meaning and purpose?

With You, We’ll Unleash the Power of Data!

This much is certain: You love data and are passionate about advanced analytics solutions and everything that can be done with them – like predicting, planning, and changing the future and creating completely new opportunities for our patients. A pipe dream? Not at all! It’s why you’re looking for an environment that lets you harness the power of market, customer, device, and other data with meaning and purpose. For the benefit of patients around the world. And that’s why we’re inviting you to join us here at Fresenius.

„We all have different backgrounds, from business information technology to the real estate industry, which gives us varied perspectives on the topics we work on.”

Pascal Vogt,Senior Manager Performance Projects & Analytics Advanced Manufacturing at Fresenius Kabi

Your Profile Might Just Be a Match!

Do we have the right job for you? Do you fit what we are looking for? Do you represent our core digital target market in a typical way? If you, a homo digitalis, see yourself in one of the descriptions below, we would be delighted to receive your application.

Not A Minor Matter: Our Personality Dashboard

Data Science demands more than just technical knowledge. It requires a range of personal strengths to be used in our international projects. You will keep developing these strengths as part of our team.

Global Mindset

Most of our digital projects are international and end with the finished solution being rolled out globally. That means our business can be quite diverse. Among other things, this requires you to be able to provide advice in English, to be willing to travel, and to have intercultural competence.

Talent In Advising

You don’t just know what you’re talking about. You also know how to talk about your knowledge, which you enjoy doing well. After all, you will be an in-demand point of contact for “your” projects, internally and externally and at all levels. You will be a line of communication between, and adviser for, corporate divisions, management, and IT.

Agility

At Fresenius, we are making increasing use of agile project methods. This means you should be familiar with scrum, kanban, design thinking, and the like. Ideally when you hear the word “sprints”, you won’t be thinking of a running track.

Curiosity

Sticking your nose in other people’s business? But of course! Only in a professional sense, though. In other words, those looking to develop with us in the still-young field of data science should take a frequent look at what their colleagues are doing. We learn from each other every day.

Perseverance

In our team, exercising patience doesn’t necessarily mean putting things on the back burner. Rather, difficult jobs mean you should persevere with them until you find the needle in the haystack, and that can take a while sometimes.

Willingness To Learn

We learn every day, especially in data science. Our colleagues are important sources of knowledge in this field, offering individual backgrounds of expertise and experience. In addition, we also need to keep a constant eye on new technologies, trends, and topics that are relevant to our work.