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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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