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About the Role
This Data Scientist II role within Global Finance Analytics (GFA) will focus on the Order to Cash (O2C) process. The position involves owning the design and execution of experiments and data science solutions to enhance collection effectiveness, improve payout outcomes, and strengthen the partner financial journey. Collaboration with various teams including O2C Operations, Finance, FinTech, product, data, and engineering is key.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Data Science
- Experimental Design
- A/B Testing
- Statistical Inference
- Quantitative Decision-Making
- SQL
- Python
- R
- Data Modelling
- Snowflake
- Spark
- dbt
- ETL
- Data Quality
- Stakeholder Management
- Data Visualization
- Storytelling
Location
- Amsterdam, the Netherlands
Work Type
- Hybrid working
- Flexible working arrangements
Experience Level
- Data Scientist II
Benefits
- Annual paid time off
- Generous paid leave scheme including: parent, grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
About the Company
- At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.
- Order to Cash (O2C), within Finance and FinTech, manages the financial lifecycle with accommodation partners—from invoicing and payouts to receivables collection, cash allocation and revenue operations. Global Finance Analytics provides horizontal analytics and data science support across O2C, helping teams improve partner outcomes, operational effectiveness and financial performance.
Equal Opportunity
- Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive
- We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.