Data Scientist | Machine Learning - Recommender System

We know it, you know it. Most companies ramble on about purpose and making the world a better place. And pretty often it feels a bit… well, forced. But we’d like to think that our story is special for real. Hear us out. The story of Nextory began in Syria, where our founders grew up. When they were children, they witnessed how the dictatorship limited the access to books, and saw what it did to their country. So when Shadi and Ninos came to Sweden, they made it their mission to make books available to everyone.
Fast forward a few years, and Nextory was born. We offer a monthly subscription where our users can read and listen to as many books as they like. Sounds like a pretty cool product to work with, right? We think so too.
We’re on the hunt for a Data Scientist to join our outstanding team on the quest of making the world a happier and more democratic place. You should be based in Stockholm or in Paris.
WHAT YOU WILL BE DOING
As a Data Scientist | Machine Learning & Recommender System Expert at Nextory your primary focus will be the development of algorithms intended for the personalization of our applications for all our markets. You will also work on the evolution of data marketing and text mining services for internal purposes as well as for publishers.
Nextory distributes 900 000 fiction and non-fiction books to our users globally, this offers with a broad variety of interests and intentions in terms of individual consumption. Every unique user is looking for their next book to indulge on our platform, let's make this easy for them through ML!
It's time to elaborate, your mission will mainly consist of driving the following points:
- Develop, evaluate, implement and evolve collaborative filtering and topic modeling algorithms
- Deploy the algorithms in collaboration with the Tech & Product teams within an A/B testing framework
- Metadata optimization of content as well as developing metadata prediction models
- Creation of new content representation dimensions
WHO YOU ARE
To be successful in this role we believe that you are a team player with a genuine interest in creating value for our users, partners and the business. We believe that you have a couple of years experience from working in a similar role at a fast-moving company. We believe that you enjoy working in a dynamic and unpretentious environment and that you have great communication skills in English. We believe you have, for the field, relevant educational background e.g. Computer Science or Statistics.
Your technical environment and skills needed:
- Python (scikit-learn, pandas)
- Recommender systems
- NLP (principalement tokenization, POS, Lemmatization, Speech-to-Text)
- Classic approach of Machine Learning
- SQL / BigQuery
- Web scraping
A unique and exciting challenge is waiting for you and we are looking forward to your application which should include a CV or LinkedIn profile. Also, we would love a pitch of why you are the person we are looking for!