Data Scientist II - Finance

Booking.com; Amsterdam; Hybrid; EUR 68,000 - 110,000; Full time

Benefits offered by this job

Annual leave & family leave benefits

Hybrid working with travel-from-abroad

Booking.com product discounts

Job summary

Booking.com in Amsterdam is seeking a Data Scientist II to join Global Finance Analytics. You will own end-to-end data science solutions affecting O2C collections, payouts, and partner receivables, collaborating with Finance, FinTech, and product teams.

You will design robust experiments, translate business questions into data-driven insights, and mentor junior colleagues while delivering measurable impact across the financial journey for Booking.com partners.

Qualifications

• 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.

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.

Skills

Data science experience

Experimental design

SQL skills

Python or R

Modern data platforms

Tools

Snowflake

Spark

dbt

ETL

Data quality

Job description

Job Title: Data Scientist II

Team Location: Amsterdam, the Netherlands

About Us: 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.

Role Overview

Based 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.com partners. 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.
• 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.

Role Qualifications and 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.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

• Annual paid time off and 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

Inclusion at Booking.com

Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. 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.

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

Pre-Employment Screening

If 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.