Machine Learning Scientist

• Adyen’s Regulatory Reporting Tech team is seeking a Machine Learning Scientist to join us in Amsterdam. You will help in further automating and scaling our global regulatory reporting framework to keep Adyen compliant across all markets
• Together with the team, you will implement key technical solutions to streamline our regulatory reporting operations. If you have a strong machine learning background and love solving complex problems, we want to hear from you
• Research, design, implement, train, deploy and monitor machine learning algorithms, either for batch prediction or real-time. Examples include: on-line learning algorithms to pick the best optimization decision in a changing environment, clustering algorithms to group customers/shoppers, supervised and semi-supervised learning methods for inference on risk patterns or graph analysis, representation learning for behavior prediction and monitoring, Anti-Money Laundering (AML) systems and real-time anomaly detection based on time-series modeling
• Develop orchestrated pipelines for analytical purposes and machine learning training
• Contribute to ongoing automation efforts for our experiments, training runs, validation runs and monitoring before, during and after deployment. Furthermore, collaborate with MLOps to improve our machine learning tooling
• Collaborate closely with product managers and business stakeholders to understand requirements, define problems, and frame them as solvable machine learning tasks
• Explore and analyze large, complex datasets to identify patterns, insights, and opportunities for ML-driven solutions
• Define key performance metrics, design rigorous experiments (e.g., A/B tests), and perform statistical analysis to validate model performance and quantify business impact

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 an experimental mindset with a launch fast and iterate mentality. Extensive experience with designing and running experiments is essential
• You have 3+ years of experience as a machine learning or data scientist
• You stay up-to-date with the latest research and developments in the machine learning field, and apply this where valuable
• You have strong familiarity with the standard data science toolkit, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow
• You have experience with the full machine learning model lifecycle in production flows
• You have a good understanding of software engineering practices as well as data engineering and MLOps principles
• You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data
• You are proactively taking 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
• You have knowledge of data science and statistics and machine learning techniques. These include a strong grounding in statistical inference, machine learning for prediction, and causal inference - Deep Learning experience is a plus
• 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!- 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