Senior Data Scientist (Experimentation Platform)

• 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
• 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
• 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

Benefits

• Global exchange program
• Weekly happy hour
• Delicious healthy lunches
• Phantom share package
• Yearly trip to Amsterdam
• Paid holidays
• Work from home opportunities- You have a strong understanding of software engineering practices as well as data engineering principles
• You have experience leveraging a big data framework to create the pipelines needed to gather experiment data
• You have an experimental mindset with a launch fast and iterate mentality
• You have a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
• You have strong familiarity with the standard data science toolkit, such as (py)spark, Pandas, SciPy, numpy, and Airflow
• 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 and a proven track record of implementing such methods at scale
• You have proven experience in leading 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
• You have experience designing and analysing controlled experiments in an applied setting to provide tangible business outcomes
• You have 5+ years of experience as a data scientist, including 2+ years working on an experimentation platform (or similar)- Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days
• Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role