Senior Data Scientist

πŸ’Ž About Easysize and the role

Easysize is a B2B SaaS company working with (direct-to-consumer) online fashion brands around the world. Our products help brands decrease online returns, boost sales and run more sustainable operations by utilising the data they have and helping them become more data-driven. We grew the client base 10x in 2021. And now you have a chance to be a part of our team in 2022 and help us grow even faster.

We are looking for a senior level data scientist to join us and help bring our platform and products to the next level. This role is ideal if you Β are passionate about data, exited to work on unique challenges and love to think outside-the-box to find solutions to problems that Fashion-tech industry has to offer.


  • Designing new models and reimagining ways that existing ones can be improved
  • Researching new possibilities to utilise our data to provide more value to customers
  • Work on the architecture of the data, algorithm, feature pipelines
  • Participating in products development processes
  • Work closely with the rest of the team to share ideas


Qualifications & Skills
  • 5+ years of practical experience, working with software engineering teams
  • Strong knowledge of python and SQL/NoSQL databases
  • Experience working in an Agile/Scrum/Kanban development methodology
  • Ability to identify when a simple solution is preferred and when a more complex solution is needed
  • Ability to for-see potential risk and problems
  • Ability to quickly adapt in order to thrive in a dynamic environment


  • Experience with real life Machine Learning applications
  • Experience with data analysis
  • Experience with software development (preferably backend)


What we offer
  • Remote-first team with flexible work-hours
  • No-bureaucracy environment, where everyone is result-oriented and has decision-making power
  • Opportunity for career and professional growth
  • Competitive compensation in USD or EUR
  • Allocated budget for each employee for training (courses, conferences, whatever else you want)


How to Apply

Does this position sound like a good fit? Email us at

  • Include this role's title in your subject line (it'll help us to sort through the emails).
  • Send along links that best showcase the relevant things you've built and done.


Employment type:

Some of the perks we offer