Data Scientist

Schibsted Media Group is an international media group with 6800 employees in 31 countries. From Mexico to Malaysia, from Brazil to Norway ? millions of people interact with Schibsted companies every day. We ensure that new and old sofas can be sold. News reports are read and watched when, where and how consumers want. Weather reports are checked with quick online services. Carpenters are found through a couple of clicks. Prices are compared and the latest fashion is browsed? these examples are just some of the ways our services empower people all around the world in their daily lives.
Schibsted Products & Technology is a brand new technology start-up within Schibsted, with offices in London, Stockholm, Barcelona and Oslo. Our philosophy is built on keeping an open mind, challenging ourselves, and the status quo. The goal is to shape the future of our industry. To achieve this we recruit attitude in addition to technical skills. If you are driven, ambitious, not afraid of challenges and thrive on finding new solutions, we want to hear from you.
The overall mission of Schibsted Products and Technology is to develop the common global product platforms and technology infrastructure necessary to create data and identity based ecosystems; empowering local entrepreneurs, delighting users, and driving Schibsted?s future growth. With over 250 million monthly active users under our belt, we?re able to harness huge amounts data to provide insights on a global scale. Together with our deep local expertise, we?ve got a winning combination.
Schibsted Media Group is one of the most successful digital companies in the world, with a diverse collection of online media, classified marketplaces, and other apps/services distributed throughout Europe, Asia, and the Americas. As a Data Scientist at Schibsted, you will be at the heart of an effort to utilize our unique combination of data to bring about the next generation of digital products and services. You will have a direct impact on millions of users around the world by building data products and informing product strategy.
RESPONSIBILITIES

Apply expertise in quantitative analysis, machine learning, and data mining to a variety of product areas including personalized recommendations, classifiers, user growth, and A/B experimentation.
Partner closely with product teams to deliver insights and recommendations that inform product direction and strategy.
Communicate findings and results to both technical and non-technical audiences.
Assess the value of new data sources and help drive the collection of new data.
Design and interpret the results of product experiments.
REQUIREMENTS

PhD or Masters degree (or equivalent) in a relevant technical field such as computer science, statistics, or operations research.
Extensive experience applying quantitative approaches to practical problems.
Comfort with relational databases and SQL.Experience with at least one scripting language such as Python (preferred), Ruby, or Perl.
Experience with statistical programming environments like R or Python/Pandas.
Experience with Scala is a plus.
Experience with large data sets, distributed computing, and MapReduce a plus.
Expertise in one or several areas of NLP such as:
Basic text processing (tokenization, word segmentation, sentence splitting, pos tagging, noun chunking
Named entity recognition
Language modelling, feature generation (word2vec, glove, brown clustering, topic modelling)
Parsing, semantic role labeling, relationsh