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About the Role
The Data Scientist II will own and deliver end-to-end data science solutions supporting Payments and Accounting. They will partner closely with business and technical stakeholders to translate complex finance and accounting problems into analytical and modelling approaches, delivering actionable insights and data-driven solutions. The role will involve applying statistical and predictive analytics, as well as emerging GenAI techniques, to address business problems across Payments and Accounting.
Responsibilities
- Own the design and delivery of end-to-end Data Science and Analytics solutions for Finance, Payments and Accounting, from ideation through implementation.
- Partner closely with business stakeholders, product and data platform teams to understand complex Accounting and Finance problems, translate them into data-driven solutions, and deliver measurable business value.
- Lead the identification, development and implementation of GenAI solutions and intelligent agents to enhance Accounting processes, analytics, insights and decision-making.
- Apply statistical, predictive and other Data Science and Analytics techniques to solve complex business problems and generate actionable insights.
- Identify opportunities to leverage GenAI to elevate existing Data Science and Analytics capabilities, improve efficiency, and enable new ways of working within the Accounting function.
- Work collaboratively with business, Data Science and Data Engineering stakeholders to ensure solutions are scalable, reliable and fit for production.
- Responsible for designing and interpreting quantitative experiments, where appropriate, to objectively guide business decision-making.
- Communicate complex analytical and GenAI concepts and outcomes clearly to business stakeholders and influence decision-making.
- Act as a force multiplier for the team by sharing Data Science, Analytics and GenAI expertise and supporting the development of junior colleagues.
Requirements
- Experience applying GenAI methods and building production-scale agents to develop intelligent analytics and data-driven solutions for complex business problems; domain experience in finance or fintech is preferred.
- 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 communicate insights and influence business decisions.
- Experience in Finance, Fintech or Payments is desirable.
Skills
- Data Science
- Analytics
- GenAI
- Statistical analysis
- Predictive analytics
- SQL
- Python
- R
- Experimental design
- A/B testing
- Statistical inference
- Quantitative decision-making
- Stakeholder management
- Data visualization
- Storytelling
Location
- Amsterdam, the Netherlands
Work Type
- Hybrid working
- Flexible working arrangements
Experience Level
- Data Scientist II
- Experienced members of the team
Benefits
- Annual paid time off
- 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
About the Company
- 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.
Equal Opportunity
- 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
- 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.