EXPERIENCED DATA SCIENTIST (M/F/X)
JOIN OUR TEAM IN BONN FOR A FULL-TIME POSITION, STARTING AS SOON AS POSSIBLE.
EXPERIENCED 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 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 an experienced data scientist working for the Data Analytics Center of
Excellence at Deutsche Post DHL Group, you will ensure that state-of-the-art artificial
intelligence/ machine learning methods are applied in our team. You will run
projects in a wide variety of applications, bringing business benefits to our
operative divisions by challenging and collaborating with other Data Scientists
on applied methodologies throughout projects. Tasks might include developing
models that forecast daily shipment volumes for accurate operational capacity
planning, or predicting delivery time windows for enhanced customer experience.
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 predictive models, implement prototypes
and guide the team conceptually. You will interpret modeling results in a
business context and discuss these with 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 Mathematics, Statistics, Physics, Computer Science 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 and building mathematical models
- Strong knowledge on statistical analysis and experience applying machine learning models
- 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
- 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 Henning Blunck, Lead
Data Scientist, for Data Science topics via +49 228 18963395 and to Laura Wiens
for HR related questions via +49 228 18967619.
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
Zahlen und Fakten
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Arbeitszeiten
40
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Geschäftsbereich
Deutsche Post AG
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Beschäftigungsart
Unbefristet Vollzeit
„Die Deutsche Post DHL bietet mir Sicherheit, die Chance mich weiterzuentwickeln und die Möglichkeit, in fast jedem Land der Welt zu arbeiten.“
Aktueller Mitarbeiter – Senior Consultant in Bonn