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# Data Science - IC - F

- **Company:** Booking.com
- **Location:** Amsterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Big Data, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Database Queries, Python (Programming Language), Snowflake, Apache Spark, Generative AI, Data Analytics
- **Published:** September 3, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=cf11e35ece2f8b7f

## About the Role

Experience applying GenAI methods and building production-scale agents to develop intelligent analytics and data-driven solutions for complex business problems; domain experience in finance or fintech is preferred.

Proven experience applying data science to complex business problems and delivering measurable outcomes.

 * Strong knowledge of experimental design, A/B testing, statistical inference and quantitative decision-making.
 * Strong SQL skills and proficiency in Python or R, with experience preparing and modelling large datasets.
 * Familiarity with modern data platforms and workflows such as Snowflake, Spark, dbt, ETL and data-quality practices.
 * Strong stakeholder management, data visualization and storytelling skills, with the ability to influence decisions.
 * Experience in finance, payments, collections, operational optimization or mentoring junior colleagues is desirable.

## Description

The Data Scientist II will own and deliver end-to-end data science solutions supporting Payments and Accounting. The role partners closely with business and technical stakeholders to define complex business problems, translate them into analytical and modelling approaches, and deliver intelligent analytics and actionable insights. They will independently apply statistical & predictive analytics, and emerging GenAI techniques to develop innovative data-driven solutions across Accounting processes and use cases. The role will also explore and apply GenAI capabilities to enhance how Accounting data is analyzed, interpreted, and translated into insights and scalable business solutions., * Own end-to-end data science solutions, from problem framing and experimental design through analysis, recommendation, implementation and impact measurement.

 * Design and execute statistically robust experiments to optimize collection interventions and maximize recovery while protecting partner experience.
 * Analyze payout and collection journeys to identify opportunities that help O2C pay partners successfully and collect receivables effectively.
 * Translate ambiguous business challenges into clear hypotheses, analytical approaches and actionable recommendations.
 * Partner with O2C operations, product, Finance, FinTech, data and engineering teams, and communicate results clearly to senior stakeholders.
 * Build scalable and reproducible solutions and ensure quality through validation and peer review.
 * Measure impact through collection and recovery performance, payout outcomes, write-off, partner experience and adoption, while supporting junior colleagues.