Transporeon

  • Working Student (m/f) in area of Data Science

    Job Locations DE-Ulm
    Job ID
    2018-1264
    Career Field
    Product Management
    Category
    Trainee/Working Student
    Recruiter Name
    Tatjana Schwab
    Legal Entity
    TP GmbH
  • Overview

    TRANSPOREON Group is the European market leader for e-logistics.  We connect manufacturers, retailers and wholesalers with their logistics service providers through cloud-based software solutions. Our platforms TRANSPOREON, TICONTRACT and MERCAREON optimize transport logistics processes and the communication between industry, retailers, carriers, drivers and consignees. Not only economic, but also ecological optimization potentials are fully used thanks to our products.

     

    We combine challenging assignments with a friendly working environment. We are bound together by our shared goals and vision for the company, even though we often come from very different backgrounds in terms of experience, culture and language. We trust in our abilities and dare to try out new things. The TRANSPOREON Group is an exciting place for fresh ideas – in many different locations around the world.

     

     

    Within the framework of the “Data Driven Products” initiative, we are taking our mission to reduce the main inefficiencies of transport logistics to a new level through data-based solutions. The goal is to identify further optimisation potentials which we can implement in existing and new business models.

     

    Apply now and become part of our team in Ulm!

     

    Responsibilities

    • Support in the extraction, preparation and evaluation of data as well as the visualisation of complex content
    • Drafting of proof-of-concepts for the further expansion of our data-driven products
    • Support in the identification and implementation of improvement and expansion potentials to the infrastructure in the area of Data Science

    Qualifications

    • Studies in Applied Mathematics, Statistics, Data Science, (Business) Computer Science, Physics or a comparable course
    • Ideally, you have already completed preliminary projects in the area of Data Science or Data Analysis
    • Experience of Python and the PyData ecosystem (e.g. Pandas, NumPy, scikit-learn, Jupyter Notebooks) or R as well as relational databases (SQL, specifically, PostgrSQL)
    • Knowledge of methods in the area of Machine Learning (esp. for regression problems) and BI applications (e.g. Apache Superset) is an advantage.
    • Strong design skills, an innovative and creative way of thinking and a passion for new technologies and analytical methods
    • Outstanding analytical skills and joy in applying these to complex issues and visualising the results
    • Independent and structured approach to working
    • Confident, clear and concise communication

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