Data Scientist (f / m / d)

Karlsruher Institut für Technologie; Karlsruhe; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading research institute in Karlsruhe seeks a Data Scientist to analyze large data sets for technology assessment. The role involves discourse analysis, software development, and collaboration on AI projects, with opportunities for a PhD. Strong communication skills and experience in digital methods are essential.

Qualifikationen

• Several years of professional experience in digital methods required.
• Knowledge of visualization and web data collection tools.

Aufgaben

• Conduct discourse analyses on social media and online data.
• Develop open source software for technology assessment.
• Visualize research results and collaborate on AI tools.

Kenntnisse

Data Science

Data Analytics

Machine Learning

NLP

Statistics

Visualization

Communication

Ausbildung

Master's Degree

Tools

APIs

Scraping

Jobbeschreibung

As a Data Scientist (f / m / d) you will build up cross-disciplinary expertise in the field of Digital Science at ITAS. The aim is to analyze large amounts of data and make them usable for technology assessment (TA). Specifically, you will have the following tasks :

• Discourse analyses including social media and online data on current developments
• Social science analyses through automated evaluation
• Visualization of research results
• Development of open source software for the specific purposes of technology assessment
• Collaboration in the ITAS project "TA-KI" and support the use and reflection of AI tools for knowledge acquisition in the context of TA studies for policy advice
• National and international knowledge exchange

In addition to this research, there is the possibility to complete a PhD.

asap

You have a university degree (Master's) with a focus on quantitative analysis, computer skills and data interpretation, such as data science, data analytics, digital humanities, computational social science, artificial intelligence, machine learning, statistics, computer science, computational science, information systems, operations research or similar. Several years of professional experience in working with digital methods is required, ideally with NLP and ML libraries / packages to identify and categorize argumentation structures, content and their authors. Knowledge of visualization and collection of web data (collection tools, scraping, APIs) is required. Experience with social network data and analysis and / or graph theory, article publishing and peer review and knowledge of political systems and decision-making processes as well as experience working in trans- and / or interdisciplinary research projects are an advantage. You have strong communication skills and are open to an interdisciplinary working environment. Very good written and spoken German are an advantage, English is required.

Salary category 13, depending on the fulfillment of professional and personal requirements.