• Vollzeit
  • D-PLZ 53

Deutsche Post DHL Group

Reference number: req55275 JOIN OUR TEAM IN BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE. SENIOR DATA SCIENTIST (M/F) – OPERATIONS RESEARCH 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 THE expert for applied optimization, you will ensure that state-of-the-art Operations Research methods are applied within Deutsche Post DHL Group. Providing methodological guidance to Data Scientists in the team, you will jointly run projects in a wide variety of applications, bringing business benefits to our operative divisions. Tasks may include improving the network design of our global transport network, or optimizing the routing between more than 200 countries, task-force scheduling, simulations and many other challenging business problems in strategic, tactical and operational levels. Specifically, you will derive an analytical framework for data analytics projects based on the concrete business requirements and operational processes. You will conduct data analyses, develop mathematical models, implement prototypes and guide the team conceptually. You will interpret modeling results in a business context and discuss these with the relevant stakeholders, including members of top management. In order to embed data-driven decision-making in operations, you will drive the build-up of methodological skills and knowledge transfer acquired from completed projects. You will also use your expertise to help identify new strategic application areas, use cases, or products by applying innovative data analytics methods and technologies. Your profile University degree in (Applied) Mathematics, Industrial/Systems Engineering, Operations Research, Physics, related natural sciences / technical degree, or comparable qualification At least four years of relevant professional experience in business environment or research Experience in analyzing complex datasets and building mathematical models, also in a practical context Extensive knowledge of mathematical optimization, knowledge in machine learning, statistics and/or forecasting is a plus Experience in at least one of these fields is a major plus: vehicle routing models, heuristics, meta-heuristics, large scale mixed-integer optimization, decomposition methods or column generation Very good object-oriented programming skills and/or experience in scripting languages (Python, , C++, C#, R, Java or other) 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, German proficiency is a plus 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 We are looking forward to your application.