Data Scientist II - Finance Payments
2 нед. назад
НидерландыMiddleHybrid
genaisqlpythonrsnowflakesparkdbtetl
Data Scientist II - Finance Payments at Booking.com in Amsterdam working on data science solutions in Finance, Payments and Accounting using GenAI and statistical methods.
About the company
- Booking.com — сервис интернет-бронирования отелей по всему миру
- At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere.
- Our company is more than datasets, lines of code or A/B tests. We make it easier for everyone to experience the world.
- The company has a team size of 10k+.
About the product
- The candidate will join the Data Science & Analytics team within the Finance Payments Accounting organization.
- The Data Scientist II will own and deliver end-to-end data science solutions supporting Payments and Accounting.
- The role involves applying statistical and predictive analytics, as well as emerging GenAI techniques to address business problems across Payments and Accounting.
- Exploration and application of GenAI capabilities to enhance analysis and develop intelligent, scalable solutions improving decision-making and business processes.
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.
Conditions
- Booking.com offers a competitive compensation and benefits package, including annual paid time off and generous paid leave scheme (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 - including automatic Genius Level 3 status and Booking.com wallet credit.
- Inclusion is a core part of company culture with employees from over 140 nationalities and diverse backgrounds.