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Data Scientist

Posted 8 Nov 2025
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Work experience
4 to 10 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Scientist

Adyen is looking for a data scientist with deep expertise in statistical hypothesis testing, experimental design, and quantitative research methods to join the Experimentation Platform team in Amsterdam. We want to significantly increase the breadth of Experimentation at Adyen and that requires cutting-edge statistics. You will help to research and implement innovative hypothesis testing approaches that drive experimentation at industry-leading scale. You will also work with a diverse set of users, advocating and mentoring on best practices in experimental design, interpretation of results, and evidence-based decision-making.

In this role, you will:

  • Research and implement industry-leading statistical methods to provide robust statistical signals across multiple business domains and contexts, optimising for time-to-signal and experiment quality;
  • Develop a deep knowledge of Adyen’s specific domain context in order to prioritise statistical methodologies and approach that provide maximum value;
  • Stay up-to-date with the latest research and developments in statistical hypothesis testing;
  • Collaborate closely with your multi-disciplinary team of backend/frontend/data engineers to help scope and define requirements for new platform features, ensuring statistical methods are integrated appropriately;
  • Collaborate with data scientists across Adyen to identify opportunities for the novel application of statistical and data science techniques to challenging problems;
  • Work closely with platform users to provide guidance and enable them for success; promoting experiment-driven culture and product development practices.

Who You Are:

  • You have 4+ years of experience as a data scientist;
  • You have a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field;
  • You have a strong theoretical understanding of advanced frequentist and Bayesian hypothesis testing (e.g. sequential testing, e-processes, etc) as well as causal inference techniques;
  • You have experience designing and analysing controlled experiments in an applied setting to provide tangible business outcomes;
  • You have experience leveraging a big data framework to create the pipelines needed to gather experiment data;
  • You have a good understanding of software engineering practices as well as data engineering principles;
  • You have strong familiarity with the standard data science toolkit, such as (py)spark, Pandas, SciPy, numpy, and Airflow;
  • You have an experimental mindset with a launch fast and iterate mentality;
  • You proactively take the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

The Adyen Formula

The way we work is guided by the eight principles of the Adyen Formula.

Tech careers

Our engineers are building the first financial technology platform that combines payments, data, and financial services. We’re looking for more talented problem solvers to help us address a unique set of challenges.

We took an unobvious approach to starting a payments company, building a platform from scratch. Today, we're the payments platform of choice for the world's brightest companies. Our unobvious approach is a product of our diverse perspectives. This diversity, of backgrounds, cultures, and perspectives, is essential in helping us maintain our momentum.

Finance & Banking
Amsterdam
Active in 22 countries
1,700 employees
60% men - 40% women
Average age is 31 years