Combining passion and technology

With thousands of special objects showcased every day, hundreds of thousands of daily bids, millions of users and billions of clicks, the Catawiki platform generates vast amounts of data every day. All this information is used by our team of analysts and data scientists to build a better company.
At Catawiki, we believe in incorporating data into our decision making, and the Data Science & Analytics team plays a key role in doing so. Our data department consists of three teams:
  • Insights – Empowers the whole company with the right data insights, self-service and reporting
  • Machine Learning – Builds end-to-end machine learning models to create positive business impact in close collaboration with our tech and product teams
  • Data Engineering – Builds robust and flexible data science infrastructure and data pipelines

Meet Henk,
our Senior Director of Data Science & Analytics

“I've been with Catawiki since late 2015, and it’s been a thrilling ride with fresh challenges every year. I come from a physics background, and what I really enjoy about the data team is solving complex puzzles about our marketplace's dynamics, in a fast-paced collaborative environment of smart and friendly colleagues. Our team is at the centre of the company, working closely with all the different departments. Together, we’re really making an impact with Catawiki's data. Each team member gets a lot of autonomy and ownership to work on their own topics with their own stakeholders.  Our team serves as a stable homebase where we brainstorm about problems and learn from each other.”

Meet more of the team

Meet Kyara

Data Scientist

“I love working with passionate people and having a real impact. One day, I'm helping Marketing estimate the effect of their discount campaigns, and the next day I'm diving into our databases to visualise where new users are dropping off in our registration funnel.”

Meet Imad

Machine Learning Manager
“Catawiki has a tremendous amount of Machine Learning (ML) use cases which makes it a super fun and interesting place to work! We work with various stakeholders on how we can leverage the power of ML to make the journey of our users the best it can be.”

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