Schenker AG

https://www.dbschenker.com/global

Industry:

Logistics

Headquarters:

Essen,Germany

Company Size:

1000+

Founded:

1872

Schenker AG is a global logistics and supply chain management company headquartered in Frankfurt, Germany. The company was founded in 1872 and is a subsidiary of Deutsche Bahn AG. Schenker AG provides a range of logistics services, including air and ocean freight, land transport, contract logistics, and supply chain management. The company operates in more than 130 countries and has a workforce of over 76,000 employees.

Schenker AG's mission is to provide innovative and sustainable logistics solutions that meet the needs of its customers, while creating long-term value for all stakeholders. The company is committed to using advanced technologies and digital solutions to optimize its operations and reduce its environmental impact. Schenker AG also places a strong emphasis on safety and compliance, and strives to maintain the highest standards of ethical conduct in all of its business activities.

Head Of Data Science (M/F) at Schenker Ag

You hold a master's degree or PhD in a data-centric area such as applied mathematics, physics, computer science, engineering or have equivalent professional experience? Your résumé shows several years of practical industry experience in a Head of Data Science role as well as the implementation of Data Science and AI solutions? If you want to help us accomplish our mission to shape the future of tomorrow and turn DB Schenker into a data-driven company, then we should get to know each other!<br> <br> For our headquarters in **Essen** we are looking for you to join us at the **next possible date** in a **permanent full-time position** as<br> <br> **Head of Data Science (m/f)**<br> <br> **Your role as Head of Data Science (m/f)** <ul><li>In your new role, you are leading, nurturing and growing an agile team of Data Scientists with expertise in statistical modelling, machine learning, and other computational disciplines. </li><li>You will work in close cooperation with internal Business Units and IT to define our data strategy, develop data-centric business models, ensure their deployment into production and optimize our machine learning … Read more

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