Deutsche Post

  • Bonn, Germany

The Deutsche Post AG, operating under the trade name Deutsche Post DHL Group, is a German postal service and international courier service company, the world's largest. With its headquarters in Bonn, the corporation has 510,000 employees. The postal division delivers 59 million letters each day in Germany, making it Europe's largest such company. The Express division (DHL) provides services in 220 countries.

Deutsche Post Bonn, Germany
15/10/2019
Full time
JOIN OUR TEAM AT BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE. DATA SCIENTIST (M / F / X) DO YOU HAVE PLENTY OF KNOWLEDGE AND WANT TO MAKE A DIFFERENCE? WE OFFER EXCELLENT OPPORTUNITIES FOR PROBLEM SOLVERS. The Deutsche Post DHL Group is the leading mail and logistics service provider for the world.   As one of the planet's largest contractors operating in over 220 countries and territories, we see the world differently.   Join our team and discover how international network that's focused on service, quality and sustainability.   And not just for our customers, but for every member of our team, too. Your tasks As Data Scientist at the Data Analytics Center of Excellence at Deutsche Post DHL Group, you want to work with our operative departments to solve concrete business problems.   In a team of Data Scientists, you will apply mathematical methods as well as time series analysis, research methods and machine learning to answer a wide range of questions.   Tasks might include predicting daily shipment volumes for accurate operational capacity planning, or handling the real-time optimization of costs and utilization of our transport network, which connects more than 200 countries. Specifically, you will support us in strategic and operational data analytics projects.   Taking the business requirements and operational processes into account, you want to be productive of analytical framework for data analytics projects.   You will conduct data analyzes, develop mathematical models, implement prototypes and guide the team conceptually.   You want to interpret modeling results in a business context and discuss with members of top management.   In order to make data-driven decision-making in operations, you will want to build up the methodological skills and apply the knowledge gained from successfully-completed projects. Your profile University degree in Mathematics, Statistics, Physics, Computer Science Practical experience in analyzing complex datasets and building mathematical models Good knowledge of machine learning, statistics and / or mathematical optimization Very good programming skills and / or experience in scripting languages ​​(Python, R or Java) Experience with the following Big Data technologies is a plus: Spark, Hive, Hadoop Very good written and spoken English Comfortable explaining complex analytical and technical content to various audiences Energetic and success-oriented problem-solver Independent ethics, integrity and loyalty, positive can-do attitude Passionate team player Your benefits We offer you excellent employee benefits, a competitive salary package and great development opportunities. Your contact We are happy to answer your question!   Please reach out to Andrea Hofmann, Lead Data Scientist, for Data Science on +49 228 189 93331 and Lisa-Marlen Schöppner for HR related questions via +49 228 189 55345. Interested in this responsible position with its varied tasks?   Please click "Apply" and send us your complete application including cover letter, CV, references and your desired salary.   You can find further information on https://www.dpdhl.jobs/data-science. We are looking forward to your application. CONNECTING PEOPLE.   IMPROVING LIVES. #datasciencejobs
Deutsche Post Bonn, Germany
07/10/2019
Full time
JOIN OUR TEAM IN BONN (GERMANY) FOR A FULL-TIME (40 HOURS PER WEEK) POSITION, STARTING AS SOON AS POSSIBLE. Data Analyst (m / f / d) TODAY, YOU'RE STIMULATING THE WAY A CUSTOMER SUCCEEDS. TOMORROW, YOU'RE SHAPING THE WAY THE WORLD WORKS. At DHL, people mean the world to us.   That's why our goal has always been to attract and retain the best talent the world over.   We provide challenge and opportunity for personal and professional development.   Sharing the pride of building THE LOGISTICS COMPANY FOR THE WORLD. Customer Solutions & Innovation (CSI) is DHL's cross-divisional commercial and innovation unit.   We are responsible for managing about 100 of DHL's largest and most strategically important companies providing them with sector expertise, best in class account management and most innovative products & solutions. We are looking for a passionate Data Analyst (m / f / d).   The successful candidate wants to turn data into information, into insight and into business. Your tasks Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases / data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing reports to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Your profile Technical expertise regarding data models, database design development, data mining and segmentation techniques, Strong knowledge and experience with reporting packages (business objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) as well as knowledge of R and Python Knowledge of statistical datasets (Excel, SPSS, SAS, etc.) Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information Your benefits We offer excellent employee benefits, a competitive salary package and great development opportunities. Your contact Ms. Anna Kortmann is happy to answer your questions on 0049 (0) 228 182 47712. Interested in this responsible position with its varied tasks?   Please click "Apply Here" and send us your complete application, including a cover letter, CV, references, your desired salary and your earliest possible starting date.   You can find further information at dpdhl.jobs.