Experience Inc. Jobs

Job Family: Internal Services

Req ID: 420541

Mode of Employment: Limited; 20 h / week

Develop what will be important tomorrow.

Do you like the sound of finding the smartest solution side by side with professionals and experts? If so, complete your PhD thesis with us. We can help you to combine knowledge, discover connections, and formulate ideas. When you join our team, you will gain an insight into a range of departments and processes. It is a chance like no other to break new ground as we head into the future of electrification, automation, and digitalization. Seize this opportunity today! We offer you an exciting and varied PhD thesis in the field of Data Science, User & Usage Feedback Mining, Machine Learning / Deep Learning, Crowd RE:

Develop and validate KPI’s for quantifying the value-add of a combined analysis of explicit user feedback (user reviews) and implicit usage tracking data

Change the future with us.

• Analysis and comparison of best-in-class data analytics tools in the market while gathering hands-on experience in real project environments allowing a thorough understanding of state-of-the-art solutions

• Identification of appropriate use cases for Siemens business

• Identification of opportunities, where analysis of user & usage feedback data can lead to a better user experience of Siemens offerings

• Definition of scientific hypotheses

• Synthetization of gained insights into solutions (walking skeleton)

• Adaption of selected data analytics tool to meet the required evaluation results

• Validation of these hypotheses with real-world data in real application scenarios

To support your work and to ensure that outcomes will be utilized, we’ll provide the prerequisites for your success:

• You will be embedded with a team of UX experts and closely collaborate with thought leaders to ensure you can draw from state-of-the-art expertise throughout your work

• You will benefit from academic supervision through first-class experts in the field of data-driven SW development to ensure your work delivers a strong scientific contribution

What you need to make real what matters.

• You hold an M.Sc. degree in computer science, mathematics or natural science, ideally with a strong background in artificial intelligence or analysis of quantitative or qualitative data

• You have a basic knowledge of machine learning and deep learning algorithms.

• You have proven experience in a scripting language (e.g. Python), as well as in well-known AI libraries

• You provide good teamwork and communication skills, as well as an independent and structured way of working

• You are business fluent in German and English

• Furthermore, you have a strong commitment and feel comfortable with handling innovative topics

We’ve got quite a lot to offer. How about you?

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As an equal-opportunity employer we are happy to consider applications from individuals with disabilities (https://new.siemens.com/de/de/unternehmen/jobs/arbeiten-bei-siemens/inklusion.html) .