Data Scientist (*)

  • DB Schenker
  • Essen, Germany
  • 15/06/2022
Full time Data Science Data Analytics Big Data Statistics Software Engineering DevOps

Job Description

Job Description

employment type
full time

Full job description

At DB Schenker, you are part of a global logistics network that connects the world. A network that allows you to shape your career by encouraging you to contribute and truly make a difference. With more than 76,000 colleagues worldwide, we welcome diversity and thrive on individual backgrounds, perspectives and skills. Together as one team, we are Here to move.

The Global Data Strategy & Analytics department is on a mission to turn DB Schenker into a data-driven company. Our Data Science team focuses on designing advanced analytics solutions to solve potential business use cases in logistics utilizing Machine Learning, AI techniques, Data Visualization tools and Big Data technologies in cooperation with our Software Engineering team, internal business units and global IT.

Your tasks:
  • Co-operate with internal business units to find use cases that potentially can be supported by data analytics and machine learning solutions
  • Identify, gather and process required data sets
  • Perform data analysis, communicate insights to our stakeholders and create prototypes to solve business problems
  • Design and deploy scalable advanced analytics components in co-operation with software engineering team and internal IT departments
  • Define key performance indicators and evaluation techniques to measure the impact of our products
Your profile:
  • Master’s degree in a quantitative field such as Computer Science, Applied Mathematics, Statistics, Physics, Engineering, Finance or similar
  • Preferably a PhD in a quantitative field
  • Several years of industrial experience in data analytics or machine learning projects
  • Hands-on experience with SQL, Python and relevant data science libraries such as Scikit-Learn, Keras, TensorFlow
  • Demonstrated ability to translate business needs into quantitative analytics problems
  • Experience in software development and deployment (Docker, Git, CI/CD)
  • Clear and succinct verbal and written communication skills in English
  • Passion to learn new technologies and analytical methodologies
  • Experience in agile methods such as Kanban, Scrum or The Spotify Model
  • With seminars, trainings and further qualifications we offer our employees (m/f/d) individual and long-term development and career opportunities on professional, project and management levels.
  • Fascinating national and international projects and tasks such as sports and events logistics, trade fair logistics or special transports enrich the work environment.
  • We take social responsibility for our employees (m/f/d). DB Schenker offers a comprehensive workplace health management with programs for health promotion and prevention.