Data Scientist Customer Audiences and Profiles

Unlocking the potential of customer data: Join our team and help shape the future of retail for over 13 million Dutch and Belgian customers. Bol is on a mission to make daily life simpler, supported by 46,500 partner sellers and a combined assortment of approximately 41 million products. All our customers are unique, and understanding their characteristics, preferences, and habits is key to providing value to our customers, partners, and internal teams.

How do you make our customers happy?

As a Data Scientist in the Customer Audiences & Profiles product, you play a pivotal role in shaping how bol understands and activates customer data. Your work enables marketing and advertising teams to deliver more relevant, personalized experiences at scale. You will be working on solutions that model customer behavior, define high-value audiences, and build data-driven profiles that fuel our targeting and personalization capabilities. Whether you’re optimizing how we segment customers, developing predictive models, or helping translate raw event data into business impact, your work will directly contribute to bol’s growth and customer satisfaction.

What you will work on

• Develop and productionize the machine learning and business models that help define customer segments and audiences.
• Build and maintain the customer data profiles used in targeting, experimentation, and personalization by leveraging behavioral and transactional data.
• Translate business questions into data science problems and communicate insights clearly to non-technical stakeholders.
• Work closely with (data) engineers, analysts, and product managers to ship impactful solutions.
• Contribute to the refinement of our customer feature store.
• Ensure the performance of our (machine learning) models is monitored, understood, and continuously improved over time.

Why you can make the difference

You have at least 3 years of experience working as a data scientist, applying your skills to solve real business problems. You’re confident working with large datasets and know how to turn raw data into valuable insights and scalable solutions.

You’re comfortable with Python’s data science and machine learning ecosystem (pandas, scikit-learn, and tensorflow or pytorch), and SQL, and have experience with tools like BigQuery, Airflow and dbt. While it’s not required, it’s a plus if you’ve worked on similar data challenges (personalization, customer segmentation, or other marketing-related use cases) or if you have expertise in bringing machine learning solutions to production in the cloud with Vertex AI or equivalent tooling.

What matters most is your ability to collaborate across disciplines. You enjoy working closely with engineers, marketers, and analysts to explore ideas, build robust data products, and translate complexity into clarity. You can explain your thinking clearly, challenge assumptions when needed, and always keep the bigger picture in mind.

We’re a team that values curiosity, openness, and a willingness to learn and share. If that sounds like your kind of environment, we’d love to meet you.

3 reasons why this is (not) for you

Pros

• Yes, if you want to build reusable models and features that power multiple use cases.
• Yes, if you enjoy working with marketers, analysts, and engineers to turn ideas into data products.
• Yes, if you’re curious about customer behavior and how data can drive relevance and personalization.

Cons

• No, if you prefer working independently without much stakeholder collaboration.
• No, if you expect a fixed roadmap rather than helping define the direction.
• No, if you’re mainly looking for a role focused on cutting-edge deep learning.

This is where you’ll work

At the premier online retail tech platform in the Netherlands and Belgium. A platform where over 13 million Dutch and Belgian customers can choose from 41 million articles. A platform that helps roughly 46,500 commercial partners run their business. And a platform that will never be ‘finished’, because bol 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!