Senior Machine Learning Scientist

Join Adyen, a leading global payment company, as a Senior Machine Learning Scientist in Amsterdam. In this role, you will design and implement production-ready machine learning solutions, build and deploy algorithms, and collaborate with product managers and business stakeholders. You will also explore and analyze large datasets, define key performance metrics, and contribute to ongoing automation efforts. The ideal candidate has 5+ years of experience in machine learning or data science, strong familiarity with data science tools, and a good understanding of software engineering practices.

• Research, design, implement, train, deploy and monitor machine learning algorithms for various applications.
• 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.
• If you have a strong machine learning background and love solving complex problems, we want to hear from you
• You have 5+ years of experience as a machine learning or data scientist
• 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 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
• 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 a good understanding of software engineering practices as well as data engineering and MLOps principles
• You have an experimental mindset with a launch fast and iterate mentality. Extensive experience with designing and running experiments is essential
• You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data
• You have experience with the full machine learning model lifecycle in production flows
• You stay up-to-date with the latest research and developments in the machine learning field, and apply this where valuable
• 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!