Hybrid job

Hybrid

Data Scientist - Machine Learning

Catawiki

Source: GreenhouseLocation: Lisbon, Portugal, Portugal · EU/EMEAPublished: Jul 27, 2026Confirmed active: Sep 19, 2026
E-Commerce50-200

Our assessment

  • 31 more open roles from this employer in our index. 13 of them fully remote.

This section only: calculated automatically by nomado24, from our own job index and our own reading of the posting text. Not stated by the employer.

Job description

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, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.

Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.

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

Your Mission

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.

What You'll Do

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

What You'll Bring

  • 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
  • Understand and apply standard and widespread ML techniques in your area with little support.
  • Have a strong quantitative background (statistics, ML, sciences, etc.)
  • Are fluent in Python and capable with SQL
  • Have deployed ML models in production serving real time responses on a large scale
  • Are able to effectively communicate about your models to a non tech-savvy audience
  • Have 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.

Where You'll Be

This role is based in Lisbon. We work in a hybrid model with two days a week in the office.

Why You'll Love Working with Us

  • Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
  • Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
  • A …
greenhouseData Scienceen

This role is provided by an external source. Applications are handled on the source website.

New remote jobs like “Data Scientist” by email

Only when something fitting appears. Free, unsubscribe any time.

You confirm your subscription by email (double opt-in) and can unsubscribe at any time via the link in every email. Our Privacy Policy.

All Remote Data Jobs

Prepare your application with AI

Have the AI advisor draft a cover letter, analyze how your profile fits this role, and prep you for the interview.

Sign in & prepare with AI

Free, you'll continue right where you left off after signing in.

Or let us search for you

Matching job categories

Not the right job?