Bitte beachten Sie: Diese Stellenanzeige ist nicht mehr aktiv.
Entdecken Sie hier weitere Stellenanzeigen auf academics, dem führenden Stellenmarkt für Wissenschaft und Forschung. Um regelmäßig per E-Mail über passende Stellen informiert zu werden, können Sie sich jederzeit kostenlos registrieren.
Data Scientist (f/m)
Veröffentlicht am(vor 252 Tagen)
Bewerbungsende(vor 232 Tagen)
Karlsruher Institut für Technologie (KIT)Karlsruhe
Karlsruhe Institute of Technology (KIT) – The Research University in the Helmholtz Association creates and imparts knowledge for the society and the environment. It is our goal to make significant contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 9,300 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.
The Steinbuch Centre for Computing (SCC) is offering a position for a
Data Scientist (f/m)
The Smart Data Innovation Lab of the Steinbuch Centre of Computing is offering a position to a person with a master university degree who has experience in data mining and machine learning and is fluent in written and spoken English and German.
You have an excellent university degree from the field of computer science, statistics, mathematics, or a comparable degree program for Data Science. You have experience with machine learning algorithms and data mining. You are also fluent in spoken and written English as well as German.
You are an eager team player with good communication skills who engages in discussions respectfully and with strong arguments. You can adapt yourself to diverse international environments.
As an experienced data scientist, you are fulling competent to:
explore data analytics in a big data environment for the generation of business insights
gain valuable information from different industrial data sources and real-time data based on pattern recognition and hidden trends
analyze disordered and heterogeneous data based on statistical and mathematical methods in machine learning
interpret and visualize the acquired information for presenting to clients
program in one or more scientific programming languages such as Python (esp. Scikit-learn, pandas), R
produce prototypes and scripts (e.g. Python)
processing large amounts of data (big data)
We are an enthusiastic international group of young data scientists and administrators, keen to challenge ourselves with appealing tasks. We are also flexible in managing our working hours to suit individual members of the team. Being located at KIT‘s computing center, we are benefiting from being surrounded by experts.
The Smart Data Innovation Lab (http://www.sdil.de) is one of the three Big Data Competence Centers declared by BMBF. The SDIL group located at the Steinbuch Centre for Computing, KIT in Karlsruhe provides a unique platform to experiment with big data algorithms. Data Scientists have the opportunity to work directly with industry in various kinds of data analysis project.
This position is limited for one year, with the possibility of being extended. The salary follows the payment level TV-L, E13 (labor agreement for public service employees).
KIT is an equal opportunity employer. Women are especially encouraged to apply. Applicants with disabilities will be preferentially considered if equally qualified.
If you are interested to join our team, please send your CV and application in an electronic format to both email@example.com and firstname.lastname@example.org until February, 28th 2018. Alternatively, applications can be sent to Karlsruher Institut für Technologie (KIT), Steinbuch Centre for Computing, Frau Parinaz Ameri, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen. For further information, please contact Ms. Parinaz Ameri, email: email@example.com.
Further details can be found on our website: www.kit.edu.
KIT – The Research University in the Helmholtz Association.
Um unsere Webseite optimal gestalten und fortlaufend verbessern zu können, verwenden wir Cookies. Durch die weitere Nutzung der Webseite stimmen Sie der Verwendung von Cookies zu. Weitere Informationen sowie Hinweise dazu, wie Sie die Speicherung der Cookies verhindern können, finden Sie in unserer Datenschutzerklärung.