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SENIOR DATA SCIENTIST (M/F)

 
 
 
Reference number: req34810

JOIN OUR TEAM IN BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE.

SENIOR DATA SCIENTIST (M/F)

DO YOU HAVE PLENTY OF KNOWLEDGE AND WANT TO MAKE A DIFFERENCE?

WE OFFER EXCELLENT OPPORTUNITIES FOR PROBLEM SOLVERS.

The Deutsche Post DHL Group team is the leading mail and logistics service provider for the world. As one of the planet’s largest employers operating in over 220 countries and territories, we see the world differently. Join our team and discover how an international network that’s focused on service, quality and sustainability is able to connect people and improve lives through the power of global trade. And not just for our customers, but for every member of our team, too.

Your tasks

As part of the central Data Analytics Team of Deutsche Post DHL Group, you will work with our operative departments to solve concrete business problems by using mathematical methods, such as time series analysis, Operations Research methods and machine learning. You will use analytical models to answer a wide variety of questions. For example, you will predict daily shipment volumes for accurate operational capacity planning, and you will handle the real-time optimization of costs and utilization of our transport network, which connects more than 200 countries.
Specifically, you will identify strategic and operational issues in all areas of the company that can benefit from the application of data analytics. You will derive an analytical framework for data analytics projects based on the concrete business requirements and operational processes. You will carry out data analyses, develop statistical and mathematical models and implement prototypes, together with the respective departments. You will interpret modeling results in a business context and prepare them for discussion with the members of top management. In order to embed data-driven decision making in operations, you will assist in building up methodological skills and transferring knowledge gained from successfully-completed projects. With your expertise, you will also help to identify new strategic application areas, use cases, or products by applying innovative data analytics methods and technologies. Additionally, your duties will include proactively maintaining relationships with specialist departments and divisional management, leading small teams of experts and delegating tasks within the framework of data analytics projects.

Your profile
  • University degree in Mathematics, Statistics, Physics or related natural sciences / technical degree, or comparable qualification
  • At least four years of relevant professional experience, ideally with hands-on experience in logistics
  • Deep knowledge of statistics and/or mathematical optimization
  • Extensive work in analyzing complex datasets and building mathematical models, as well as the practical application of it
  • Very good programming skills and/or experience in scripting languages (Python, R, Java)
  • Proven experience in working with databases (relational, NoSQL)
  • Ability to produce outstanding creative and analytical solutions based on clear and thorough analyses of complex processes and business relationships 
  • Very good written and spoken English and German or willingness to acquire appropriate language skills
  • Comfortable explaining complex analytical and technical content to various audiences, ranging from operational specialists to members of top management
  • Energetic and success-oriented problem solver
  • Independent work ethic, integrity and loyalty, positive “can-do” attitude
  • Passionate team player
  • Excellent ability to work under pressure, very flexible and willing to undertake business trips
Your benefits

We offer you excellent employee benefits, a competitive salary package and great development opportunities.

Your contact

Katrin König, head of Data Analytics, Corporate Development will be happy to answer your questions over the telephone. She can be reached at the following number: +49 228 182-93374.

Interested in this responsible position with its varied tasks? Please click on “Apply Here” and send us your complete application including cover letter, CV, references and your desired salary. You can find further information on dpdhl.jobs.

We are looking forward to your application.