12 дней назад
Data Scientist II - Finance Payments (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist II - Finance Payments (GenAI): Designing and delivering end-to-end data science and analytics solutions for Finance, Payments, and Accounting with an accent on statistical analysis, predictive modeling, and production-scale GenAI agents. Focus on translating complex accounting problems into scalable solutions, interpreting quantitative experiments, and building intelligent agents that improve decision-making and accounting processes.
Location: Amsterdam, the Netherlands; hybrid working with flexible arrangements. Up to 20 days per year may be worked from abroad in the home country.
Company
is a technology and travel platform that uses products, data, and innovation to help people experience the world.
What you will do
- Design and deliver end-to-end data science and analytics solutions for Finance, Payments, and Accounting.
- Translate complex finance and accounting problems into statistical, predictive, and data-driven solutions.
- Lead the development and implementation of GenAI solutions and intelligent agents for accounting analytics and decision-making.
- Design and interpret quantitative experiments, including A/B tests, to guide business decisions.
- Partner with business stakeholders, product teams, data platform teams, and data engineering to deliver scalable and reliable production solutions.
- Communicate complex analytical and GenAI outcomes and support the development of junior colleagues.
Requirements
- Experience applying GenAI methods and building production-scale agents for intelligent analytics and data-driven solutions.
- 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, including preparation and modeling of large datasets.
- Familiarity with Snowflake, Spark, dbt, ETL, modern data platforms, and data-quality practices.
- Strong stakeholder management, data visualization, storytelling, and communication skills.
Nice to have
- Experience in Finance, Fintech, Payments, or Accounting.
Culture & Benefits
- Hybrid work with flexible working arrangements.
- Annual paid time off and paid parent, grandparent, bereavement, and care leave.
- Product discounts of up to 1400 per year, including Genius Level 3 status and wallet credit.
- Inclusive workplace representing more than 140 nationalities and diverse backgrounds.
- Adjustments and tools are provided for colleagues with disabilities during hiring and employment.
Hiring process
- The process includes post-application requirements that may involve application materials, portfolios, coding challenges, or other assessments.
- Successful applicants may undergo pre-employment screening as permitted by applicable law.
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