Research Data Analyst in Amsterdam

Job Title: Data Scientist II Team Location: Amsterdam, the NetherlandsAbout Us: At , data drives our decisions.

Hieronder vindt u een volledig overzicht van alles wat van potentiële kandidaten wordt verwacht, evenals hoe u kunt solliciteren. Veel succes!

Technology is at our core.

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.

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.Role OverviewBased in Amsterdam, this Data Scientist II will join Global Finance Analytics (GFA), the horizontal analytics team supporting Order to Cash (O2C) and the wider Finance and FinTech organization.

The role will own the design and execution of experiments and data science solutions that maximize collection effectiveness, improve payout outcomes and strengthen the end-to-end financial journey for Booking.The role works closely with O2C Operations, Finance and FinTech leaders, product teams, data and engineering peers, and partner-facing teams.Key Job Responsibilities and Duties:Own end-to-end data science solutions, from problem framing and experimental design through analysis, recommendation, implementation and impact measurement.Analyze payout and collection journeys to identify opportunities that help O2C pay partners successfully and collect receivables effectively.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.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 ’s Total Rewards Philosophy is not only about compensation but also about benefits.

Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leaveHybrid 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.Take it from our Chief People Officer, Paulo Pisano: “At , the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone.

It’s a place where you can make your mark and have a real impact in travel and tech.” 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.Application Process: Let’s go places together: How we HireDetailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department. xbelvxb

We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrivePre-Employment ScreeningIf your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law.

Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.