Itembase is a revolutionary shopping manager for consumers. Using your smart @itembase email inbox, all your on- and offline purchases are automatically stored in one central place. Manuals, receipts and newsletters are analyzed by our semantic systems and neatly organized for your convenience. Newly bought products, experiences and reviews can be shared with friends and across social networks. Additionally, you can sell your products with just one click. With the Itembase Analytics Backend we additionally give online shop retailers the possibility to optimize their marketing and product bundling in a similar way as Amazon does it. Our vision is to become the “Online Inventory for Everything and Everyone”.
Itembase is a proud winner of the 10th Silicon Valley Founder Showcase.
One of the challenges will be the automated categorisation of incoming emails and the information extraction of these emails. Therefore we are looking for you – a bright and agile mind.
Processes for the identification of product data/metadata from identified information sources and the subsequent matching with this information to our product database are parts of your daily work. From the gathered metadata, semantic associations between different objects in our system landscape are a second challenge.
You will work with us on this exciting topic and develop a thorough understanding of this field. Furthermore you will work on the efficient and scalable implementation of the evolved algorithms on our systems.
Imagination and creativity
Experience with Knowledge Discovery and Data Mining/Text Mining
Very good knowledge of relational and non-relational database systems
Profound handling of at least one of the following languages: Java, Python, Perl
A sharp mind with the ability to grasp concepts quickly and work out complex logic problems
A demonstrated ability to learn by doing and taking initiative to "figure things out"