Magnet.me  -  Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

Het slimme netwerk waarop hbo‑ en wo‑studenten hun baan of stage vinden.

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Data Scientist (Machine Learning)

Geplaatst 22 mrt. 2024
Werkervaring
2 tot 5 jaar
Full-time / part-time
Full-time
Functie
Soort opleiding
Taalvereiste
Engels (Vloeiend)

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Who we are

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. The special object you’ve been searching for, or a new and unexpected interest you never thought you’d have: the more you look, the more you’ll find. And at Catawiki, there’s always more to the story. Every day sellers submit thousands of objects to sell on Catawiki. Our 240+ in-house experts review and select only the best to auction.

Our mission is to connect passionate enthusiasts with the objects that tell their stories. As Europe’s fastest growing online auction platform, we help over 10 million people discover new treasures every month. This means we are continually growing and always on the lookout for new talent!

Born and raised in The Netherlands, we started in 2008 and have since grown to over 750 Catawikians, working across 7 international offices, while maintaining our start-up mentality every step of the way. In December 2020 we received a new€150m investment round led by Permiraand are excited to be growing our team and business further across the world.

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 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.

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

Who you are

  • An all-around data scientist with 2+ 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 serving real time responses on a large scale
  • Have demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

  • Proven ability to extract meaning from very big datasets with little engineering support.
  • Experience with one or more of the following: PyTorch/Tensorflow, LightFM, Git, Docker, Kubernetes, Google BigQuery, MySQL, Spark, Airflow, Kafka, nginx, CI/CD,
  • An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.

Catawiki is the leading online marketplace to buy and sell special objects. Over 75,000 objects are offered 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 much more. Catawiki is headquartered in Amsterdam with over 750 employees across the world. Fulfil your passion on catawiki.com or download the app.

Overig
Amsterdam
Actief in 7 landen
745 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 31 jaar oud