At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga’s Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.
We’re a one-of-a-kind marketplace for buying and selling special objects! Each week we offer over 75,000 unique items in auction, carefully curated by our passionate in-house experts.

Having sold over 20 million unique objects to date, we’re on a mission to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by our core values:

• Taking ownership and driving impact
• Being open to change and feedback
• Being passionate about our mission and our customers.

If these values resonate with you, we’d love to explore how you can join us on this exciting journey!

As a Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You’ll collaborate closely with our product and development teams to implement your solutions. As part of a small team, your role will span both Machine Learning Science (MLS) and Machine Learning Engineering (MLE). This means:

• Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
• Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
• Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
• Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
• Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

OUR OFFICES AND WAY OF WORKING

Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire and connect. Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model. This means that you will be in the office 2 out of 5 days (40% of your working time) to collaborate and connect with your colleagues. That said, some roles may be an exception: if the job description states that the position is fully remote or 100% office-based, that arrangement will apply instead.

INTERESTED?

Apply directly with an English CV and cover letter by submitting your information at the bottom of this page. By submitting your application you agree to Catawiki’s Applicant Privacy Policy.
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 anyway. You may be just the right candidate for this or other roles

• Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
• Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
• Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
• Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
• Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch prediction