Senior Machine Learning Scientist - AI for Global Payments

Fdetimes; Amsterdam; Hybrid; EUR 110,000 - 150,000; Full time

Job summary

Adyen is seeking a Senior Machine Learning Scientist to join our Amsterdam team. You will design, implement and deploy production-ready ML models that power data products, collaborating across teams to optimize fraud prevention, risk, and customer experiences.

You will lead end-to-end ML lifecycles, experiments, and scalable data pipelines while staying current with research advancements. Based in Amsterdam, this office-first role emphasizes hands-on leadership and close collaboration with

Qualifications

• 5+ years of experience as a machine learning or data scientist.
• Experience with the full ML model lifecycle in production flows.
• Experience leveraging a big data framework to create data pipelines for models.
• Good understanding of software engineering and data engineering and MLOps principles.
• Knowledge of data science and statistics; deep learning experience is a plus.
• Familiarity with standard data science tools such as Spark, SQL, TensorFlow/PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar, and Airflow.

Responsibilities

• Research, design, implement, train, deploy and monitor ML algorithms for batch or real-time use.
• Develop orchestrated pipelines for analytical purposes and ML training.
• Collaborate with MLOps to improve tooling and automation for experiments and deployments.
• Collaborate with product managers and stakeholders to define problems as ML tasks.
• Analyze large datasets to identify patterns and opportunities for ML-driven solutions.
• Define KPIs, design experiments, and perform statistical analysis to quantify business impact.

Skills

ML Experience

Production ML

Big Data Pipelines

MLOps

Statistics & ML

Python Tools

Job description

Adyen is seeking a Senior Machine Learning Scientist to join our Amsterdam team. You will design, implement and deploy production-ready ML models that power data products, collaborating across teams to optimize fraud prevention, risk, and customer experiences.

You will lead end-to-end ML lifecycles, experiments, and scalable data pipelines while staying current with research advancements. Based in Amsterdam, this office-first role emphasizes hands-on leadership and close collaboration with