Data Scientist (Finance)

Booking.com; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Free Headspace access

Pension plan

Annual paid time off

Parental leave

Job summary

Booking.com in Amsterdam is seeking a Data Scientist II to join Global Finance Analytics. You will design and execute experiments to improve collection effectiveness, payout outcomes, and the end-to-end financial journey for Booking.com partners.

Collaborate with O2C Operations, Finance, FinTech, and product teams to deliver data-driven insights. You will own end-to-end data science solutions, from problem framing and experimental design to analysis, recommendations, implementation, and impact

Qualifications

• Strong knowledge of experimental design, A/B testing, statistical inference and quantitative decision-making.
• Proven experience applying data science to complex business problems and delivering measurable outcomes.

Responsibilities

• Own end-to-end data science solutions from framing to 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 and collect receivables effectively.
• Translate ambiguous business challenges into hypotheses, analytical approaches and actionable recommendations.
• Partner with O2C operations, product, Finance, FinTech, data and engineering teams, and communicate results to senior stakeholders.
• Build scalable, 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; support junior colleagues.

Skills

Data visualization

Storytelling

Experimental design

A/B testing

SQL

Python

R

Stakeholder management

Quantitative decision-making

Tools

Snowflake

Spark

dbt

ETL

Data quality practices

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

Strong stakeholder management, data visualization and storytelling skills, with the ability to influence decisionsProven experience applying data science to complex business problems and delivering measurable outcomesExperience in finance, payments, collections, operational optimization or mentoring junior colleagues is desirableStrong knowledge of experimental design, A/B testing, statistical inference and quantitative decision-makingStrong SQL skills and proficiency in Python or R, with experience preparing and modelling large datasetsFamiliarity with modern data platforms and workflows such as Snowflake, Spark, dbt, ETL and data-quality practices