DHL

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Originele vacaturetekst

EXPERIENCED DATA SCIENTIST FOR PRODUCT DEVELOPMENT (M/F/X)

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

EXPERIENCED DATA SCIENTIST FOR PRODUCT DEVELOPMENT (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 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.

The Data Analytics Center of Excellence is the central Data Science team at DPDHL, 40+ Data Professionals working on the data-driven future of our company.

Your tasks

As an “Experienced Data Scientist for Product Development”, you will join the product development team for one of our “Data Science Solutions”, cross-divisional Data Science offerings that help our business units across the globe improving their business.

In a cross-functional team of Data Scientists, Data Engineers and MLOps experts you will ensure that state-of-the-art artificial intelligence/ machine learning methods are being applied and deployed into production. You will be part of the agile development process end-to-end, i.e., supporting the Product Owner in the strategic alignment of the solution, discussing technical details of the solution with the engineers, implementing algorithms and evaluating the results. You will get your hands dirty on real data from logistics processes around the world, doing Exploratory Data Analysis and testing new ML models on them. Afterwards you will take part in the integration of the improved model into the production services.

You will collaborate with and learn from other Data Scientists and guide junior colleagues in their work.

While working continuously on a concrete product, you will be part of our Data Analytics Center of Excellence, a vivid and growing team of Data Enthusiasts. You will participate in the knowledge exchange, joint learning activities and group events and also have the chance to connect to the even larger Data Science community in DPDHL Group.

Your profile

  • University degree in Data Science, Computer Science, Mathematics, Statistics, Physics or related natural sciences / technical degree, or comparable qualification
  • At least four years of relevant professional experience in business environment or research, experience in managing and conceptually guiding projects
  • Practical experience in analyzing complex datasets, building mathematical models and production level code
  • Strong knowledge on statistical analysis and experience applying machine learning models
  • Very good programming skills (preferably Python)
  • Experience with the following Big Data technologies is a plus: Spark, Hive, Flink
  • 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
  • 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

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 Thorsten Kranz, Lead Data Scientist, for Data Science topics via +49 228 189 63392 and to Lisa-Marlen Schöppner for HR related questions via +49 228 18955345.

Interested in this responsible position with its varied tasks? Please click on “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

Stunden:
Vollzeit
Art des Stellenangebotes:
Intern

Fähigkeiten

  • Es ist kein Abschluss erforderlich