How do you make our advertisers successful?
Bol is changing retail to make daily life simpler for over 13 million Dutch and Belgian customers, together with more than 46,500 partner sellers. Advertising plays a crucial role in helping these partners grow their business.
Team AdAdvice ensures that advertisers receive clear, trustworthy and impactful recommendations to improve campaign performance. Moving beyond rule based approaches, we aim to create advice that dynamically responds to shopper behaviour, campaign performance and product relevance. This requires strong modelling, experimentation and data understanding.
Your work will help advertisers make better decisions, reduce wasted spend and reach their goals with confidence.
What you do as Data Scientist in AdAdvice
As a Data Scientist in the Advertiser Advice product, you play a pivotal role in how bol develops and scales intelligence behind our advertising recommendations. You will design and operationalize models that identify opportunities, predict impact and guide advertisers toward better campaign outcomes. Whether you are building models to optimize search term relevance or identifying data-driven recommendations that optimize campaign budgets and spend, your work directly influences advertiser success and platform growth.
What you will work on
- Develop and productionize machine learning models that power keyword suggestions, placement advice, budget guidance and product recommendations.
- Set up and maintain the advice modelling framework, including feature engineering, training pipelines, model monitoring and versioning.
- Build and manage experimentation workflows, including A/B testing and causal measurement to validate advice impact.
- Translate business questions into data science problems and communicate insights clearly to engineers, analysts, PMs and marketing stakeholders.
- Collaborate directly with engineers to ship robust models to production and ensure reliability, explainability and performance over time.
- Nice to have: experience with LLMs and embeddings to support generative or model based advice logic in the future.
Why you can make the difference
You have at least 5 years of experience working as a data scientist, applying your skills to real world, production-oriented challenges. You are comfortable designing end to end model workflows, running experiments and driving modelling conversations with both technical and non-technical colleagues. You are expert at breaking down big problems into smaller, incremental tasks that bring value.
You are strong in Python’s data science stack, SQL and cloud-based ML tooling. Experience with advertising, ranking, recommendations or search is a plus.
Most importantly, you enjoy building sustainable data products, challenging assumptions and working cross functionally to create impact.
3 reasons why this is (not) for you
Switch to find out
-
You’re not into tooling
No, if SQL / Python / Machine Learning is terra incognita
-
You’re a soloist
No, if you’ve never worked with software engineers and don’t look forward to the experience
-
You don’t deviate from the path
No, if you want a fixed roadmap instead of shaping direction together with the team.
+
You are pragmatic
Yes, if you want to build reusable models that power multiple types of advertising advice.
+
You like tangible outcomes
Yes, if you enjoy working with product managers, engineers and analysts to turn ideas into scalable data products.
+
You love lab settings
Yes, if you like connecting modelling, experimentation, and real advertiser outcomes.
This is where you’ll work
At the premier online retail tech platform in the Netherlands and Belgium. A platform where over 13 million customers can choose from 41 million articles and where 46,500 commercial partners run their business. A platform that is never finished, because bol has been reinventing retail since 1999. If there is a better way to do something, we are already exploring it.
Together with our customers, partners, colleagues and hopefully together with you.
Perks of having a blue heart
Discover all perks
Flexible working
We bring the best of both worlds together by working 50% at the office and 50% at home. This way, we find a balance between organisational and individual needs.
On and off
At bol we understand like no other that you have to take care of yourself first, then your environment and then bol. In that order. Therefore, everyone at bol receives 29 days of vacation.
The culture and the office
Our colleagues work hard to make the daily lives of our customers easier and more fun. But of course, we do this in an inspiring and creative environment!
The internal application process
So you’ve found an exciting opportunity within bol! Here’s what happens next:
Your application
We carefully review your application and will get back to you soon to let you know if we’re moving forward. We aim to get in touch with you as soon as possible.
First contact
If you're invited to an interview, we’ll reach out to schedule a meeting. This is also your chance to ask any questions you may have about the role, the team, or the process.
The interview
In this conversation, we’ll get to know each other better. We’ll discuss your experience, skills, and how you contribute to our shared mission. We’ll also explore whether the role aligns with your ambitions and how you embody bol’s Leadership Behaviours. Depending on the role, a second interview may follow.
Is it a match?
If we both feel it’s the right fit, we’ll make you an offer and discuss the next steps. Time to start your next chapter at bol!
Any questions?
I'm Monika Myslinska, Recruiter at bol. Anything I can help you with regarding the Data Scientist Team AdAdvice (Advertiser Advice) vacancy?
Get in touch!
I'm good
