.Number 1 in Europe!
zooplus AG is Europe's leading online retailer of pet supplies.
With over 8 million active customers in more than 30 European countries and more than 2.000 billion Euro revenue in 2021, zooplus is comfortably the market leader in the online segment.
At zooplus, we believe e-commerce to be the sales model of today and for the future.
E-commerce has become one of the fastest developing areas of business.
Modern logistics centers and the use of personalization mean that online sales can be handled with increasing efficiency.Our employees are the key to our success!
The zooplus team currently consists of more than 1.000 interdisciplinary specialists and managers from more than 50 countries.So we can remain successful against our competitors in the future too, we are looking for individuals who can develop our business and help create a positive corporate culture by not only demonstrating versatile professional and methodological expertise but also by showing a passion for performance, analysis, and a solution-based approach.
This includes dealing with rapid changes, intensive networking, and an in-depth understanding of technology, the digital market, and the business model's value-added chain.Are you passionate about Digital Analytics and technical implementation?
We are looking for a Junior Data Scientist.
In this role, you will have the opportunity to work as a part of the Data & Analytics team, established in the IT Division, ensuring that all analytical units within the company can act on a unified, easy to understand analytical data layer.Responsibilities Working with other data scientists and engineers to design and implement new internal search solutions.Developing infrastructure for cleaning and processing data and running experiments to evaluate system performance.Performing error analysis and suggesting and implementing improvements.Participating in the development and design of the internal recommendation system.Communication of your results to stakeholders.Creation of a new information retrieval system to enable semantic search using multiple document interpretations.Automatic extraction of causal knowledge from varied information sources such as product descriptions, magazine articles, etc.Requirements University degree in computer science, mathematics, or similar.Experience working with data.Being familiar with core Machine Learning concepts and being able to code them.Being familiar with data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Ability and desire to go through large amounts of unstructured information to discover trends and patterns.Experience with Python/Scala/Lua and familiarity with modern Deep Learning Frameworks such as Pytorch or Tensorflow or MXNet.Willingness to provide tangible outcomes delivered to stakeholders.Structured and solution-oriented way of working.Team player who likes to work in a dynamic work environment