EasySize is looking for an experienced data scientist to join our team in Copenhagen. Working as a Data scientist at EasySize is about disrupting fashion e-commerce. We’re building the services that revolutionise the industry and make shopping experience seamless. To put it simple – we use data and algorithms to crack into fashion.

You’ll be working team on improving our existing algorithms, experimenting and improving data structure, helping to build new analytical tools and dashboards for fashion retailers. Our data comes from various retailers and third-party services all around the world. We ship product improvements on a daily basis, and constantly work on optimising accuracy, performance and speed of the size prediction.

Your Skills / Experience:

• Hands-on experience in big data / NoSQL environments: Hadoop, Spark, Cassandra, MongoDB, others (ZooKeeper, Sqoop)
• Sufficient understanding of predictive analytics, visualization, all types of structured & unstructured data
• Ability to put together a data technology stack working with Open Source tools & partners, design data services to ingest data for both streaming & batch processing

You might be the right fit, if:

• You enjoy moving fast
• You’re a team player
• You’re product oriented: Great code is only great if it solves real problems for the customer
• You’re able to take a responsibility and a lead in “data” vertical in the company and grow, as the company evolves

About EasySize

EasySize analyses shopping habits of millions of users around the world and recommends the right clothing size. We help fashion retailers to lower returns, increase conversions and provide the best experience. By using diverse database, provided by various retailers, and advanced algorithms EasySize fully understands individual style preferences of customers across thousands of fashion brands.