Data Scientist (Finance)
Booking.com
mid-level
Location
Amsterdam, Netherlands
Work Type
Onsite
Seniority
mid-level
Posted
August 13, 2026
Total Compensation
€130,000
Yearly Savings (Comfortable)
€52,000
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Job Description
- 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
- 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
Benefits
- Health insurance
- Free access to Headspace for you and your loved ones
- Global Employee Assistance Program
- Meditation and Breastfeeding rooms at the office
- Booking Cares - 2 days per year to volunteer and learn
- Life insurance
- Disability insurance
- Pension plan
- Annual paid time off
- Parental leave - 22 weeks
- Grandparent leave - 10 days
- Care leave - 10 days
- Bereavement leave - up to 4 weeks
- Anniversary leave
- Working from Home Furniture and Ergonomic Support
- Working from Abroad - up to 20 days per year
- Discounts & Wallet credits to spend on our products
- Upgrade to Booking.com Genius Level 3
- Friends & Family Booking.com discount vouchers
- Free access to online learning platforms
- Development and mentorship programs to support career growth
- Access to trainings and workshops
- Team development opportunities
- Local discount programs
- Game rooms in offices
- On-site meals, coffee and snacks including vegan options- Familiarity with modern data platforms and workflows such as Snowflake, Spark, dbt, ETL and data-quality practices
- Strong knowledge of experimental design, A/B testing, statistical inference and quantitative decision-making
- Experience in finance, payments, collections, operational optimization or mentoring junior colleagues is desirable
- Strong stakeholder management, data visualization and storytelling skills, with the ability to influence decisions
- Proven experience applying data science to complex business problems and delivering measurable outcomes
- Strong SQL skills and proficiency in Python or R, with experience preparing and modelling large datasets
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