# Data Scientist - Senior
Adyen is looking for a Senior Data Scientist with deep expertise in statistical hypothesis testing, experimental design, and quantitative research methods to join the Experimentation Platform team in Amsterdam.
## Key Responsibilities
- 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 and apply a deep knowledge of Adyen's specific domain context in order to prioritise statistical methodologies and approaches that maximise business 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
## Requirements
- 5+ years of experience as a data scientist, including 2+ years working on an experimentation platform (or similar)
- Master's or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
- Strong theoretical understanding of advanced frequentist and Bayesian hypothesis testing (e.g. sequential testing, e-processes, etc) as well as causal inference techniques and a proven track record of implementing such methods at scale
- Experience designing and analysing controlled experiments in an applied setting to provide tangible business outcomes
- Experience leveraging a big data framework to create the pipelines needed to gather experiment data
- Strong understanding of software engineering practices as well as data engineering principles
- Strong familiarity with the standard data science toolkit
- Experimental mindset with a launch fast and iterate mentality
- Proven experience in leading projects from ideation to deployment and working with a wide range of stakeholders