Data Scientist for a SaaS Supply Chain Risk Management Solution (m/f/x)

Troisdorf, Nordrhein-Westfalen, Deutschland DHL Customer Solutions & Innovation req82342 12/08/2019
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JOIN OUR TEAM IN BONN (GERMANY) FOR A FULL-TIME (40 HOURS PER WEEK) POSITION, STARTING AS SOON AS POSSIBLE.

Data Scientist for a SaaS Supply Chain Risk Management Solution (m/f/x) 

TODAY, YOU’RE STIMULATING THE WAY A CUSTOMER SUCCEEDS.

TOMORROW, YOU’RE SHAPING THE WAY THE WORLD WORKS.

On the cutting edge of advanced logistics thinking, the DHL Customer Solutions and Innovation unit develops innovative, supply chain solutions such as Resilience360 (resilience360.com). Global supply chains are becoming increasingly complex and geographically spread. Natural disasters, adverse weather, political unrest, cargo theft – all of these events can cause disruption in the supply chain.
Resilience360 is an innovative, cloud-based platform that helps companies to visualize, track and protect their business operations. The solution facilitates intuitive supply chain visualization, tracks shipments and predicts their estimated times of delivery for different transport modes, and enables near real-time monitoring of incidents capable of disrupting supply chains. It enables companies to ensure business continuity, build risk profiles based on over 30 risk databases, and identify critical hotspots to mitigate risks and to turn potential disruptions into competitive advantages.

Your Tasks

As a Data Scientist in the Resilience360 Team, you will work with our Product Managers and Customers to solve concrete business problems in a start-up environment. In a team of Data Scientists, you will apply mathematical methods such as time series analysis, operations research methods and machine learning to answer a wide range of questions. Specifically, you will deliver operational data analytics projects to improve our product. Taking the business requirements and operational processes into account, you will derive an analytical framework for data analytics projects. You will conduct data analyses, develop mathematical models, implement prototypes and productionize them. You will interpret modeling results in a business context and discuss these with team members and customers.

With your expertise, you will also help to 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
  • Experienced in analyzing complex datasets and building mathematical models; also in a practical context
  • Good programming skills and/or experience in scripting languages (Python, R or Java)
  • Experience in working with databases (relational, NoSQL)
  • Familiarity with Salesforce is a plus
  • Ability to produce creative and analytical solutions based on clear and thorough analyses of complex processes and business relationships 
  • Comfortable explaining complex analytical and technical content to various audiences 
  • Ability to maximize productivity in a constantly changing environment of shifting priorities is a plus
  • Needs to be able to act in a global environment  
  • Understanding of cultural related differences and behavior
  • English Language proficiency level; German basic and other languages would be beneficial

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 under phone 0049 (0) 228 182 47712.

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

We are looking forward to your application.

CONNECTING PEOPLE. IMPROVING LIVES.

Zahlen und Fakten

  • Arbeitszeiten

    40

  • Geschäftsbereich

    Resilience360 GmbH

  • Reisetätigkeit erforderlich

    Unter 25%

  • Beschäftigungsart

    Unbefristet Vollzeit

  • Arbeitserlaubnis erforderlich

    Nein

  • Schichtarbeit

    Keine

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