Data Scientist - Machine Learning

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!

Our Data Story

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 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.

What’s the job?

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:

• 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.
• Deploying scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions.

Who you are

• An all-around data scientist with 3+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders.
• Understands and applies standard and widespread ML techniques in your area with little support.
• Has a strong quantitative background (statistics, ML, sciences, etc.).
• Is fluent in Python and capable with SQL.
• Has deployed ML models in production serving real time responses on a large scale.
• Is able to effectively communicate about your models to a non tech-savvy audience.
• Has demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

• Experience with one or more of the following: Google Cloud Platform, Kubernetes, Git, CI/CD, Recommender systems, PyTorch, Kafka, nginx.
• Experience working on developing ML products for online marketplaces / ecommerce platforms.
• An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.
• Proven ability to extract meaning from very big datasets with little engineering support.

Why You'll Love Working with Us

• Create a Visible Impact by working at scale in a global organisation that serves millions of customers across 80+ categories. In our flat structure, every role has a broad scope that directly impacts both our customers and the business.

• Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes designed to support your career progression.

• A Culture of Connection defines us. We’re a passionate, diverse and collaborative team of 800+ Catawikains and 60+ nationalities, all coming together to build a one-of-a-kind marketplace. 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 our team.

• Celebrate Life’s Moments with us at Catawiki. When you join us, you’ll receive a €100 Catavoucher, and on each birthday, you'll get a €50 Catavoucher to celebrate. Enjoy an extra day off each year to "Pursue Your Passion". We also recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off, plus extra leave for life’s big moments like marriage, engagements, or moving house.

Please note that benefits can vary by location. For specific information regarding what’s available in your country, please consult your recruiter.

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. 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.

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.