Data Scientist (m/f)

 StepStone ·  09.10.2018 ·  Aschaffenburg ·  Linde Material Handling GmbH

Die Linde Material Handling GmbH, ein Unternehmen der KION Group, ist ein weltweit führender Hersteller von Gabelstaplern und Lagertechnikgeräten sowie Anbieter von Dienstleistungen und Lösungen für die Intralogistik. Mit einem Vertriebs- und Servicenetzwerk in mehr als 100 Ländern ist das Unternehmen in allen wichtigen Regionen der Welt vertreten. Im Geschäftsjahr 2017 erzielte die Operating Unit Linde MH EMEA (Europa, Nahost, Afrika) einen Umsatz von rund 3,1 Milliarden Euro und beschäftigte rund 11.000 Mitarbeiter. Weltweit wurden 2017 mehr als 124.000 Fahrzeuge der Marke Linde verkauft.

Translating business and customer requirements into data analysis problems and conduct feasibility studies

Solving business problems pragmatically using multivariate statistics, predictive modeling, machine learning and optimization methods and recommendation systems, etc.

Concept and implementation of robust data-driven analytics workflows

Support co-creation workshops, and independently engage in dialog with domain experts and product managers to identify innovative data analytics applications in the field of digital services

You become part of an inspiring team of data scientists, engineers and visualization experts

Recently you keep yourself up to date with the latest technologies in this field and actively share your knowledge and methods in a team



Master's degree in computer science, mathematics, physics or relted fields

More than 3 years experience in the field of data science and solid knowledge in e.g. Python, Scala, SQL, or similar

Experience in IoT, anomaly detection, predictive analytics or computer vision.

Experienced in the use of tools for data visualization and design of dashboard concepts

Besides advanced knowledge in statistics and time series analysis, you also have knowledge in at least two of the following methods: machine learning, pattern recognition, modeling, regression, clustering, classification

Enjoy cultivating relationships, networker with a convincing appearance at senior management level

A passionate teamplayer with the ability to motivate and inspire others

Hands-on mentality

Business fluency in German and English required



An entrepreneurial environment with the opportunity to make a personal footprint

Working in an inspirational team of industry and technology specialists

An attractive compensation package




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