As a Data Scientist, you will be analyzing large data sets of behavioral data (web analytics, ecommerce transactions) and product attribute data and developing predictive models that provide insight into customer preferences. These predictive models form the backbone of our services.

Our products, powered by data science, are integrated into the largest fashion and apparel ecommerce stores in the US and Europe and provide shopping experiences that revolutionize online commerce.

Your work will directly impact our 50+ million users and ensure their happiness. If you are passionate about working with user behavior data, big and small, this is your opportunity.


What you'll be doing

  • Participate in product discussions, propose and test solutions to business problems
  • Design, build and maintain production machine learning models and pipelines
  • Work closely with data and backend engineers to serve predictions, support new products/features, etc.

Who you'll be working with

  • A small, but clever team of data scientists, who design new products from scratch
  • Our leadership and product team members who will provide you with an unlimited supply of exciting challenges to tackle
  • Our highly capable engineering team that maintains robust scalable data pipelines and supports low latency prediction serving

The majority of our team is located in Budapest, Hungary, but you'll be able to work remotely anywhere in the EU. #LI-remote



We are looking for smart people with good communication skills who are hungry to tackle interesting challenges. If the responsibilities are attractive to you and you are passionate about answering questions like how users behave, what inspires and influences them and how we can build better products based on this information, we would love to hear about you.

We are impressed, if you...

  • Have a history of conducting quantitative analyses
  • Have experience in R, Python or other languages used for statistical analyses
  • Have dabbled with or perhaps have advanced knowledge of machine learning techniques or AI
  • Are able to present complex analysis results to both technical and non-technical audiences