Transporeon

  • Working Student (m/f/d) in the field of Data Science

    Job Locations DE-Ulm
    Job ID
    2019-1596
    Career Field
    Product Management
    Category
    Trainee/Working Student
    Recruiter Name
    Claudia Piscitelli
    Legal Entity
    TP GmbH
  • Overview

    Founded in 2000 in Germany, Transporeon Group is one of the largest SaaS companies in Europe and has one of the leading positions in a multi-billion EUR addressable logistics market. Transporeon’s mission critical, real-time cloud platform connects a global network of over 1,000 large corporates (“shippers”), with over 70,000 trucking companies (“carriers”). The platform’s single-code SaaS solutions are used by over 100,000 users in >100 countries in currently 24 languages. Transporeon creates a digital connection between shippers and their logistics partners, supporting a transparent and more cost-effective movement of goods. Through web-based solutions, logistic services such as tenders, time slot bookings, as well as tracking & tracing can be managed significantly more efficiently.

     

    Transporeon has embarked on a journey of creating the world’s leading market place in logistics, powered by real time data and complete visibility on the whereabouts of the trucks. Transporeon’s vision is to use AI/ML algorithms to help reduce the empty miles by matching supply and demand for logistics. The firm’s objective for 2021 is to extend European market leadership with EUR 15 bn of tendered freight, 25mn assigned trucks, and over 30mn booked time slots on the platform with over 120,000 connected carriers.


    Apply now and become part of our team in Ulm!

     

    Through the "Data Driven Products" initiative, we are taking our mission to reduce the main inefficiencies in transport logistics to a whole new level with data-driven solutions. The aim is to identify further optimization potentials that we implement in existing and new business models.

    Responsibilities

    • Support in preparation and evaluation of data as well as the visualization of complex issues
    • Creation and improvement of machine learning models as well as support for deployment
    • Development of proof-of-concepts for the further expansion of our data-driven products
    • Support in the identification and implementation of improvement and expansion potential of the infrastructure in the field of data science

    Qualifications

    • Study of Applied Mathematics, Statistics, Data Science, (Economic) Computer Science, Physics or a comparable degree
    • Ideally already completed projects in the area of ​​Data Science or Data Analysis
    • Experience with Python and the PyData ecosystem (eg, Pandas, NumPy, scikit-learn, Jupyter notebooks) or R / Julia as well as with relational databases (SQL, especially PostgreSQL)
    • Knowledge of methods in the area of ​​machine learning or deep learning (regression & classification), especially in application to structured data
    • Profound knowledge of software development and the associated best practices are an advantage
    • Strong conceptual skills, an innovative and creative mindset and passion for new technologies and methods
    • Outstanding analytical skills and fun to apply to complex issues and tangibly convey the results
    • Independent and structured way of working
    • Safe, clear and concise communication

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