Paper.li is a service run by SmallRivers, a fully funded startup based in Lausanne, Switzerland - a place by the lake overlooking the swiss alps...i.e. there are worse places to be ;-)
Our offices are on the campus of the Swiss Federal Institute of Technology - this means you have access to 150 different sport activities, access to many food places and public transport. We offer flexible work hours and your choice of tools. We even have a coffe drip if you need it...
Paper.li is looking for a mad data scientist to join the team in Lausanne, Switzerland.
If you dream about algorithms, semantic and social network analysis and are passionate about using your software engineering know-how to deliver exceptional customer experiences for millions of users, this position is for you.
At Paper.li we’re driven by delighting our users through the data we extract and analyse for them. To do this, we combine human curation with computer-based data analysis to surface and deliver our users the content they’re looking for around any given topic.
Daily, we analyze more than 250 million of posts on social media from over 1.7 million sources to surface the articles our users find valuable. In round numbers that’s about 400’000 URLs extracted every 5 minutes and no small feat.
You’ll be working with a small, but mighty team of people who are passionate about what they do - and we expect no less from you. You should have an insatiable appetite for learning new things and improving existing ones. If you’re the right one for us, you will want to change the world and then you’ll make it happen.
This opportunity is 100% and is based in our office on the EPFL campus. Sorry, but no remote offers will be considered at this time.
If this position sounds interesting, e-mail us your C.V. along with a few words of why you think you're right for this position and a link to your portfolio to email@example.com.
Bonus point! Include your Paper.li url, what you like about the service and even what you think could be improved.
We’ll review your information as quickly as possible and if there is a shared work philosophy, similar goals and the matching skills to make things happen, we’ll come back to you!
Thank you for considering our team as your next team. We look forward to hearing from you.