Senior Data Scientist - Experimentation Platform

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 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. 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 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. Who You Are: - You have 5+ years of experience as a data scientist, including 2+ years working on an experimentation platform (or similar); - 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 and a proven track record of implementing such methods at scale; - 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 strong 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 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. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? 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. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. 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.

Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field; 5+ years of experience as a data scientist, including 2+ years on an experimentation platform (or similar); strong theoretical understanding of advanced frequentist and Bayesian hypothesis testing (e.g. sequential testing, e-processes) and causal inference techniques with 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 data pipelines for experiment data; strong understanding of software engineering practices and data engineering principles; familiarity with standard data science toolkit such as PySpark, Pandas, SciPy, NumPy, and Airflow; ability to launch fast and iterate; proven experience leading projects from ideation to deployment and communicating complex outcomes to diverse stakeholders.

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.