Finance Payments Data Scientist II: GenAI & Analytics Lead

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

Benefits offered by this job

Hybrid work

Competitive pay

Product discounts

Job summary

Booking.com in Amsterdam is seeking a Data Scientist II to own end-to-end data science and analytics solutions for Finance, Payments and Accounting, translating complex problems into data-driven insights and delivering measurable business value.

You will apply GenAI techniques and statistical methods, lead production-scale analytics, mentor juniors, and collaborate with cross-functional teams to ensure scalable, reliable solutions that inform critical business decisions.

Qualifications

• GenAI experience with production-scale analytics and finance context.
• Proven DS track record delivering measurable business outcomes.
• Strong design of experiments and statistical inference.
• Strong SQL and Python or R skills for large datasets.
• Experience with modern data platforms (Snowflake, Spark, dbt).
• Excellent stakeholder communication and storytelling.

Responsibilities

• Own end-to-end data science projects for Finance, Payments and Accounting.
• Translate complex problems into data-driven solutions.
• Lead GenAI initiatives to enhance processes and insights.
• Apply statistical methods to drive actionable recommendations.
• Collaborate with cross-functional teams to scale production solutions.
• Mentor junior colleagues and share expertise.

Skills

GenAI methods

Production-scale agents

SQL

Python

R

Snowflake

Spark

dbt

ETL

Data visualization

Storytelling

Stakeholder management

Finance/Fintech domain

Tools

Snowflake

Spark

dbt

ETL

Data-quality practices

Job description

Booking.com in Amsterdam is seeking a Data Scientist II to own end-to-end data science and analytics solutions for Finance, Payments and Accounting, translating complex problems into data-driven insights and delivering measurable business value.

You will apply GenAI techniques and statistical methods, lead production-scale analytics, mentor juniors, and collaborate with cross-functional teams to ensure scalable, reliable solutions that inform critical business decisions.