Data Scientist Team AdAdvice (Advertiser Advice)

Unlocking the potential of advertiser performance.

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

Not for you

• You’re not into tooling: If SQL, Python, or Machine Learning is terra incognita.
• You’re a soloist: If you’ve never worked with software engineers and don’t look forward to the experience.
• You don’t deviate from the path: If you want a fixed roadmap instead of shaping direction together with the team.

For you

• You are pragmatic: If you want to build reusable models that power multiple types of advertising advice.
• You like tangible outcomes: If you enjoy working with product managers, engineers and analysts to turn ideas into scalable data products.
• You love lab settings: If you like connecting modelling, experimentation, and real advertiser outcomes.