For an organization actively building a new platform for the customer journey, we are looking for a Data Scientist. The ambition is clear: to achieve significantly more deals and revenue with the existing commercial team. You will ensure that this growth is built on data. You analyze how customers move through the journey, quickly test hypotheses, and translate your insights into concrete choices for sales and marketing.
What you do
- Analyze the entire customer journey, from first contact to closed deal, and uncover missed opportunities
- Quickly formulate and test hypotheses based on data, and connect clear conclusions and advice to them
- Develop classic statistical and machine learning models, such as segmentation, lead scoring, propensity, and conversion models
- Set up and evaluate experiments to demonstrably show the effect of improvements
- Translate analyses into practical insights for sales and marketing stakeholders
- Collaborate with developers and the platform team so that insights are truly implemented in the new platform
- Contribute to the data strategy around the customer journey and, where necessary, help determine its direction
Profile
You are a classically trained data scientist with a strong foundation in statistics and analysis. You have previously run a customer journey project from start to finish and therefore know what is needed to go from a problem to a result. You work at a high pace, easily switch between data and business, and dare to draw conclusions. You are not someone who just processes tickets in sprints, but someone who oversees the bigger picture and takes ownership.
What they ask
- Demonstrable experience with at least one completed customer journey project, from start to delivery
- Experience within e-commerce, banking/financial services
- Strong background in statistics and classic data science (not a pure AI engineering profile)
- Excellent skills in Python and SQL
- Experience with hypothesis-driven work, experiments, and communicating insights to the business
- Dutch speaking
Nice-to-haves.
- Experience with B2B or B2C sales environments with longer sales cycles
- Experience with marketing analytics, attribution, or funnel analysis
How to apply
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