EasySize helps online fashion retailers and brands to reduce returns using data driven approach. Large database and machine learning help us to predict the right clothing size and identify possible returns.

Easysize is looking for an experienced Data Scientist to join our team in Copenhagen.

You’ll be working 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: 

– Practical knowledge in analysis on large sets of categorical data (statistical modelling, predictive analysis, probabilistic modelling, supervised learning). 

– Experience in outlier detection for categorical and/or complex data. 

– Python and general programming skills. 

– Passion for algorithms, data and problem solving. 

– Experience with big data (Spark, Hadoop, Kafka, etc.) is a plus.

You will get to: 

- Work with millions of records of quality data. 

- Focus fully on modelling and algorithms. 

- Take part in product development and company life.

You might be the right fit, if: 

- You’re able to take a responsibility and a lead in “data” vertical in the company and grow, as the company evolves. 

- You’re a team player. 

- You’re product oriented: Great code is only great if it solves real problems for the customer. 

- You enjoy moving fast.