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# Data Scientist

- **Company:** Booking.com
- **Location:** Amsterdam, Netherlands
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Python (Programming Language), SQL Databases, Information Technology
- **Published:** August 26, 2026
- **Apply:** https://www.careerjet.nl/job/nl9c4457746737bf1c9e9480a9a3e8b069/eaa

## About the Role

* Strong foundation in statistics, causal inference, or quantitative modeling
 * Experience translating business questions into analytical frameworks and communicating results clearly to non-technical audiences
 * Comfortable working independently on data preparation, analysis, and modeling - and knowing when to ask for guidance
 * Curiosity about payments, marketplaces, or fintech (domain experience is a plus)
 * Eagerness to grow your craft, share knowledge with peers, and engage with the broader data science community
 * Degree in a quantitative field (statistics, mathematics, economics, physics, computer science, or similar)
 * Proficiency in SQL and Python (or R)
 * Experience with A/B testing and experimental design
 * Familiarity with working in a data-rich

## Description

We're looking for a Data Scientist to join our Partner Optimization team within FinTech Products. You'll use statistical analysis, experimentation, and modeling to help us grow partner value: reactivating partners, reducing payment friction, and shaping how we expand into new territories and payment models.
This is a role where your work directly drives business decisions: which partners to target, how to measure payout reliability, whether a new pay out model is working, and what the data says about where to invest next.
Responsibilities:

 * Analyze partner payment behavior to identify reactivation opportunities and measure what's working
 * Design and interpret experiments that guide our partner payment strategy
 * Build models and data stories that inform decisions on payout reliability, new market expansion, and payment model rollout
 * Collaborate with product managers, engineers, and business stakeholders to turn insights into action
 * Contribute to our partner experimentation program, raising the bar on how we test and learn


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