Data Scientist - Cross Border Solutions

Full time

Employment Information

Job levelMedium level

IndustryTransportation Logistics Supply Chain and Storage

Experience3+ years

LocationLisbon, Lisboa, Portugal

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Do you want to develop your professional career in a large international company? Are you interested in big opportunities? DHL Cross-Border Solutions has great opportunities to start or further develop your career! Join us in an international and multicultural environment with a hybrid work system, flexibility, and plenty of development opportunities.

DHL Cross-Border Solutions is part of DHL eCommerce Solutions, the newest member of the DPDHL family. Our mission is to become a European leader in cross-border parcel delivery by developing customized shipping solutions for international eCommerce customers.

In this context, we are looking for a Data Scientist (M/F/X) to implement projects into our business processes, using data cleansing, statistical/ mathematical models, and interpreting the data model in line with overall business objectives and needs, group guidelines, and policies to develop data-driven optimization within our business unit.

Your tasks: 

You will be responsible for implementing data scientist plans for business processes and for driving analytical use cases, working closely with our IT platform development.
Develop output reports to support project activities such as forecasting parcel volumes and financial and commercial forecasting.
Create a parcel delay forecast by using data modeling and machine-learning methods.
Liaise with the other business units and IT to identify data-driven optimization potentials and implement them via statistical modeling, data mining, and deep-learning methods.
Understand and analyze Machine Learning techniques to solve business challenges and/or generate actionable business insights.
Deliver on high-complexity projects that involve collaboration with a number of international stakeholders across Europe.
Establish strong relations with and report to the country managing directors and the central Senior Management Team.

Your profile: 

Higher education in mathematics, computer/data science, statistics or business, and logistics with a focus on analytics or relevant work experience.
Multiple years of experience in BI, Data Science, and data analytics-related projects and hands-on experience with Reporting, dashboard development, and modeling.
Experience with Power BI or other relevant Data Analysis tools and open-source programming languages Python, R or similar and SQL.
First experience in developing Machine Learning Models and willing to work with Big Data is a plus.
Flexible and able to work on several projects at the same time while setting the right priorities.
Excellent written and verbal communication skills for coordinating across teams.
Fluent English is a must, German or any other European language is a plus.