Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Data Scientist

Geplaatst 16 mei 2025
Delen:
Werkervaring
3 tot 10 jaar
Full-time / part-time
Full-time
Functie
Salaris
€ 3.000 - € 4.200 per maand
Soort opleiding
Taalvereisten
Engels (Vloeiend)
Nederlands (Vloeiend)

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How do you make our customers happy?

Bol.com is changing retail to make daily life simpler for 13 million Dutch and Belgian customers. We are joined on this mission by 52,000 partner sellers that do business on our retail tech platform. This represents a combined assortment of approximately 42 million products. And each of these products needs to be onboarded quickly, efficiently and flawlessly into the product catalog. A complex endeavor because product information comes in many shapes and sizes. So how do we rationalize and automate that process?

What you do as Data Scientist in Traffic Management?

Are you a passionate explorer of the data universe, driven by the thrill of uncovering hidden insights and patterns? Do you have a keen eye for turning raw data into actionable information? If so, we invite you to embark on a data-driven adventure with us as a Data Scientist.

Team Value Steering is looking for a Senior Data Scientist to help us unlock valuable insights for various projects.

Currently we are working on an exciting new project: Value steering. For this project we are in an exploration phase to steer PBM towards both GMV and profit.

The new Data Scientist in the team would continue these explorations to create insights/rules/models that we can use in production, with a huge potential impact on the efficiency of our marketing budget.

Why you can make the difference

To be successful as a Data Scientist in the Traffic Product, you obviously need the right credentials, such as a background in Data Science (AI or equivalent) and at least 3 years of relevant work experience. This ideally comprises a mix of Machine Learning / Deep Learning, A/B testing experience and NLP / Information Retrieval techniques. We also expect a proven ability to program in Python and write queries in SQL and BigQuery. Bonus points are awarded for Data engineering experience (ETL and Airflow), Cloud solutions and Google’s AI platform experience. On a more personal level, we highly value a strong drive to help people with wildly diverging backgrounds and skill sets to understand your models, as well as strong social skills. Moreover, the team loves to share, both ‘internally’ and with the broader Data Science community. If you share that mentality, great!

  • No if your attention span plummets after the POC phase
  • No if neural nets are your answer to anything and everything
  • No if you like flying solo #allthatairspaceismiiiiiiiiiiine!
  • Yes if you are keen to collaborate with the engineers in your team: they build what you envision, so the closer the bonds, the better
  • Yes if mixing and mingling with the Product Catalogue crowd is your thing: you are eager to spread the Data Science word
  • Yes if you feel responsible for turning ideas into realities

This is where you’ll work

At the premier online retail tech platform in the Netherlands and Belgium. A platform where 13 million Dutch and Belgian customers can choose from over 35 million articles. A platform that helps roughly 52,000 commercial partners run their business. And a platform that will never be ‘finished’, because bol.com has been reinventing retail since 1999 and we always will be. If there’s a better way to do something, we’re working on it! Together with our customers, partners, and about 3000 colleagues. And hopefully together with you! In this role, you work closely with our Product Manager and Software Engineers with a focus on ML solutions.

Bij bol leveren onze collega’s een unieke bijdrage om het dagelijks leven makkelijker te maken. Vrijheid en verantwoordelijkheid zorgen ervoor dat we samen de volgende stap voor bol, het team, en onszelf kunnen vormgeven. Door te pionieren brengen we bol verder, met elkaar zijn wij verantwoordelijk voor deze gezamenlijke missie.

Retail
Utrecht
Actief in 2 landen
2.500 medewerkers
50% mannen - 50% vrouwen
Gemiddeld 33 jaar oud