Machine Learning Scientist

Join Adyen's Regulatory Reporting Tech team as a Machine Learning Scientist in Amsterdam. You will help automate and scale our global regulatory reporting framework, ensuring compliance across all markets. Your responsibilities will include researching, designing, implementing, training, deploying, and monitoring machine learning algorithms, developing orchestrated pipelines, collaborating with product managers and business stakeholders, and exploring large datasets for insights. You should have 3+ years of experience in machine learning or data science, familiarity with standard data science tools, and a good understanding of software engineering practices.

• Research, design, implement, train, deploy and monitor machine learning algorithms for various applications, including online learning, clustering, and anomaly detection.
• Develop orchestrated pipelines for analytical purposes and machine learning training, and contribute to ongoing automation efforts for experiments and monitoring.
• Collaborate closely with product managers and business stakeholders to understand requirements, define problems, and frame them as solvable machine learning tasks.
• 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!