Senior Data Scientist / Data Engineer (w/m/x)

21/2024

FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is one of the leading provider of scientific information and services and a member of the Leibniz Association. Our core task is the professional support of science and industry with research and patent information as well as the development of innovative information infrastructures, e.g. with a focus on research data management, knowledge graphs and digital platforms. For this purpose, we conduct in-house research, cooperate with renowned universities and research associations and maintain an international network. FIZ Karlsruhe is a GmbH (a limited liability company) with a non-profit character and one of the largest non-university institutions of its kind in Germany.

In our Patent & Scientific Information unit, we develop and operate information services and thus support and promote research and development in business and science. For this purpose, we conduct applied research on information retrieval, text and data mining and semantic technologies in close collaboration with academic institutions and research organizations. In the Patents4Science research department we focus on new approaches and methods for indexing, analyzing and linking of patent content based on machine learning (ML) and semantic technologies such as Natural Language Processing (NLP), Deep Learning (DL), Knowledge Graphs (KG), etc. addressing different target user groups in the sciences.

At the earliest possible date, we are looking for a Senior Data Scientist / Data Engineer (w/m/x) at our Karlsruhe location:

Job Description:

Application-oriented research and development with a focus on natural language processing, machine learning and language models
Development and evaluation of AI models, e.g. BERT, LLMs for text analysis / information and knowledge extraction
Development of prototype applications and services
Supporting department management, e.g. writing project proposals and managing projects/sub-projects
Presentation of work results at conferences, publishing scientific articles
Option: PhD on a topic related to patent analysis and AI

Your Qualification and Skills:

University degree in computer science or comparable
Very good knowledge of machine learning and natural language processing
Extensive knowledge of software development with Java, Python and open source software
Experience in working with databases and big data (Spark, Hadoop, etc.) to analyze large amounts of data
Several years of experience with funded third-party projects and industry cooperations, doctorate would be an advantage but not mandatory
Experience with agile development processes, preferably SCRUM, Kanban and tools such as Git, Jira, Jenkins/Bamboo, GitLab, etc.
Strong conceptual and analytical skills
Very good knowledge of German and English
Very good communication, team and networking skills

Why FIZ Karlsruhe is a good employer for you

Collaboration in a highly dynamic scientific and technical environment and an appreciative working environment
Performance-orientated career and promotion opportunities
Flexible working time models and mobile working up to 80 per cent
Remuneration according to the German Collective Agreement for the Public Sector (TVöD VKA) including a company pension plan with VBL
A family friendly work environment certified by audit berufundfamilie
Company bike leasing option and €25 employer subsidy for the Deutschland-Ticket

The employment relationship is initially limited to two years, although our goal is a long-term cooperation. Applications from severely handicapped persons will be considered with preference, provided they are equally qualified. Information on data protection for job advertisements can be found here.

If you have any technical questions, please contact hidir.aras [at] fiz-karlsruhe.de (Dr. Hidir Aras). Questions regarding the application process should be directed to bewerbung [at] fiz-karlsruhe.de (bewerbung[at]fiz-karlsruhe[dot]de).
Please send your complete application documents by e-mail, quoting the reference number 21/2024, to bewerbung [at] fiz-karlsruhe.de (bewerbung[at]fiz-karlsruhe[dot]de). Application period until 30 November 2024.