Salary Competitive
Equity To be negotiated

Easysize is expanding looking for an experienced Data Scientist to join our team in Copenhagen and lead our effort to level-up our infrastructure and data processes to handle ever-larger data volumes and prediction requests. You’ll be working on improving our existing algorithms, experimenting and improving data structures. 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 optimizing accura


Your Skills / Experience: 

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

– Python and general programming skills are a must have.

– Feature engineering concepts

– Passion for algorithms, data and problem solving.

You will get to:  

- Work with fashion data on millions users.

- Work on performance and accuracy of our algorithms.

- Take part in product development and company life.


You might be the right fit, if:  

- You’re able to take a responsibility, lead others and grow, as the company evolves.

- You are a team player.

- You are product oriented

- You enjoy moving fast.


Perks and benefits

This job comes with several perks and benefits

Working at
Easysize

We’re coding the future of fashion e-commerce with the leading return prevention platform powered by artificial intelligence and big data. Founded and developed by data and fashion enthusiasts, Easysize has one critical mission: make fashion e-commerce sustainable. We are not only changing a business for a single company by making them more profitable and sustainable. We are shaping the industry at large and we help educate customers to encourage responsible consumption. We are a group of tech and e-commerce enthusiast using data to improve fashion e-commerce. Our team is international and diverse. Our key team values: Focus on things that will have the greatest impactCreate a place, where people can learn and become a better version of themselvesBe nice to peopleUse MVP approach: collect the maximum amount of validated learning with the least effortKeep a global mindsetBe transparent and honest Have an “owner” mindset Create a place, where people can come up with new ideas and feel comfortable bring up and discuss the ideas

Read more about Easysize

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