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Data Scientist Product Catalogus Driver of algorithmically enhanced product onboarding processes

Utrecht
Bachelor / Master
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How do you make our customers happy?

Bol.com is changing retail to make daily life simpler for 12 million Dutch and Belgian customers. We are joined on this mission by 39,000 partner sellers that do business on our retail tech platform. This represents a combined assortment of approximately 33 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?

Your responsibilities as Data Scientist Product Catalogue

In this role, you will co-create and validate predictive models that automate and improve the onboarding of product information. In short: you polish the e-commerce holy grail 😉 That calls for a Data Scientist who doesn’t subscribe to the ‘science for science’s sake’ mindset, because understanding the purpose of the surrounding business is crucial to maximizing your impact. The same goes for an eagerness to enable engineers and to convince less tech-savvy colleagues of the added value of your models. So, data science credentials aside, the team is looking for someone who speaks out easily, enthusiastically sells ideas, can level with a wide variety of stakeholders and isn’t allergic to humor. As for concrete projects, you will primarily home in on the delivery and feedback processes of product content. Examples include:

  • Predicting the right product and category based on product title and description
  • Extracting product characteristics from free-text fields, such as product titles and descriptions
  • De-duplicating product images

Of note: we mainly work with unstructured data (think free text fields and images) as inputs for our models and a lot of our code is experimental. E.g., training pipelines and predictive services in Python, the go-to language for ML. It’s up to you to strike the right balance between battling complexity and achieving working results. You’ll build solutions from the ground up with the software engineers in your team and assume full ownership of your solutions.

Why you can make a difference

To be successful as Data Scientist Product Catalogue, 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, and NLP / Information Retrieval techniques. We also expect a proven ability to program in Python and write queries in SQL and BQ. If you are also versed in sklearn, keras and/or tensorflow we will onboard your CV at expedited pace. Bonus points are awarded for Java/Kotlin, 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!

3 reasons why this is(n’t) for you

  • 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
  • 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!

At the premier online retail tech platform in the Netherlands and Belgium. A platform where 12 million Dutch and Belgian customers can choose from over 33 million articles. A platform that helps roughly 39,000 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 2,300 colleagues. And hopefully together with you! In this role, you work closely with our Product Owner, two Data Scientists, and two Software Engineers with a focus on ML solutions.

Where you’ll work

At the premier online retail tech platform in the Netherlands and Belgium. A platform where 12 million Dutch and Belgian customers can choose from over 33 million articles. A platform that helps roughly 39,000 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 2,300 colleagues. And hopefully together with you! In this role, you work closely with our Product Owner, two Data Scientists, and two Software Engineers with a focus on ML solutions.

What you get

What you get

  • A blue and safe landing

    We warmly welcome our new colleagues, so they feel home as soon as possible. During your onboarding program, we give you all the ins and outs about bol.com!
  • Money and more...

    Working at bol.com is challenging and therefore you get something in return. Besides salary, you will receive a yearly bonus, holiday allowance, holiday entitlement of 29 days, travel allowance, group insurance and more.

How it works

  1. Carefully, we take a look at your application. Within 2 weeks you know if we invite you for an interview.
  2. We call you to set up an interview. And since we’re already talking: feel free to ask any question you may have.
  3. In this first interview we’ll get to know each other. We want to find out more about you. Work experience is interesting, but we also want to find out more about you as a person. Together, we’ll find out if this job is a match made in heaven.
  4. Before the next interview we will ask you to take an online assessment. We’ll also discuss the position and your team in depth.
  5. 2 interviews are usually enough to see if it’s a match. And if you agree… well, it’s the beautiful beginning of your career at bol.com :)

Any questions? Contact

Apply right away Will you be the driver of algorithmically enhanced product onboarding processes

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