A piece of the moon, a complete dinosaur skeleton, the Pope's hat, the world's smallest book - at Catawiki, we come across exceptional objects such as these every day.
Catawiki is the leading online marketplace to buy and sell special objects. We offer over 75,000 special objects in auction every week — each reviewed and selected by one of Catawiki’s hundreds of in-house experts specialised in Art, Design, Jewellery, Fashion, Classic Cars, Collectables and many more.
We've sold 10 million unique items to date and it’s our mission to become the world’s most popular auction destination for special objects.
We’re an innovative, pioneering and fast-growing scale-up. If you think you can make a difference to our team, go ahead and apply.
With ten-thousands of active items on auction every day, hundred-thousands of bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect this data centrally, using it to generate business insights, as well as powering machine learning models that enhance our user experience, optimize our workflows, and keep our platform safe. We believe in creating flexible models that can be applied to a variety of use cases, and in experimentation and iteration to hit the ground running and continually improve the tools we build. The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki:
Why: We believe that by using data in a smart way, we can build the best Catawiki possible. We want to have impact and see opportunities everywhere.
How: We are builders, thinkers and talkers. We collaborate closely with every department to create value for our customers. We think big and hold ourselves to high standards, because our work really matters for the future of the company.
What: As a result we create business value by delivering scalable, robust models and actionable insights and predictions. We help the company to find opportunities and understand success, and we empower everyone to use data to be successful.
As a Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You’ll work closely with our product and development teams while implementing your work. This includes:
The following are a plus:
This role is based in Amsterdam but we can offer remote work from the following countries: France, Germany, Belgium, Italy, Spain and The U.K. We also offer an excellent relocation package for people living outside of the Netherlands.
This is your chance to become part of a fast but sustainable growing tech company! You will have an exciting role in a young, fast-growing, dynamic & international organisation. You'll be part of an enthusiastic, highly motivated team of 800+ international Catawikians; you'll have big responsibilities and can really create something. Additionally you can expect:
Catawiki’s eclectic team represents an international and intergenerational mix of people from different professional and cultural backgrounds. We foster an inclusive and queer-friendly work environment, committed to making every Catawikian feel welcomed and empowered. Whatever your story, we encourage you to bring your unique perspective to the table.
Catawiki stands with Ukraine and encourages people displaced by the current conflict to apply. In addition to the several initiatives we’ve launched, we’re open to ideas on ways we can continue to support the humanitarian effort.
We’ve embraced an activity-based way of working, meaning our team can choose how they split their work week between home and the office, in line with our remote framework and guidelines. In locations where we have physical offices, most employees enjoy two days at the office to connect and collaborate with each other.
Our experts and sales staff in local markets work 100% remotely – in most cases from home. Some key positions are hired remotely, while we also offer relocation services for colleagues needing to be closer to the office.
If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.