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About the Role
Adyen is seeking a Senior Machine Learning Scientist to design and implement production-ready machine learning solutions. This role is crucial for building, developing, and deploying algorithms that power Adyen's data products, focusing on areas like transaction success, fraud prevention, and identity verification at a global scale.
Responsibilities
- Research, design, implement, train, deploy, and monitor machine learning algorithms for batch prediction or real-time applications.
- Develop orchestrated pipelines for analytical purposes and machine learning training.
- Contribute to automation efforts for experiments, training, validation, and monitoring.
- Collaborate with MLOps to improve machine learning tooling.
- Partner with product managers and business stakeholders to understand requirements and define ML tasks.
- Explore and analyze large, complex datasets to identify patterns and opportunities for ML solutions.
- Define key performance metrics, design experiments (e.g., A/B tests), and perform statistical analysis to validate model performance and business impact.
Requirements
- 5+ years of experience as a machine learning or data scientist.
- Experience with the full machine learning model lifecycle in production flows.
- Experience leveraging a big data framework to create data feeding pipelines for models.
- Good understanding of software engineering practices, data engineering, and MLOps principles.
- Knowledge of data science, statistics, and machine learning techniques, including statistical inference, prediction, and causal inference.
- Strong familiarity with the standard data science toolkit (e.g., pySpark, SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, Airflow).
- Experimental mindset with a launch fast and iterate mentality.
- Extensive experience with designing and running experiments.
- Proactively take the lead in projects from ideation to deployment.
- Experience working with a wide range of stakeholders and communicating complex outcomes.
- Stay up-to-date with the latest research and developments in the machine learning field.
Skills
- Machine Learning
- Data Science
- Algorithm Design
- Production-ready ML Solutions
- Data Products
- Transaction Success Optimization
- Fraud Prevention
- Identity Verification
- Real-time Decisioning
- Combinatorial Optimization
- Adaptive Decision-Making Systems
- Distributed Systems
- Compliance
- Customer Experience
- MLOps
- Big Data Frameworks
- Software Engineering Practices
- Data Engineering
- Statistical Inference
- Causal Inference
- Deep Learning (plus)
- pySpark
- Trino SQL
- Tensorflow
- PyTorch
- XGBoost
- LightGBM
- Pandas
- MLFlow
- Airflow
- A/B Testing
- Statistical Analysis
- Time-series Modeling
Location
- Amsterdam
Work Type
- Office-first
- In-person collaboration
Experience Level
- Senior
About the Company
- Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft, serving as a financial technology platform.
- Adyen fosters an environment with opportunities for employees to succeed, supported by a culture that enables career ownership.
- Teams at Adyen tackle unique technical challenges at scale and solve them collaboratively, delivering innovative and ethical solutions.
Equal Opportunity
- Adyen's unique approach is a product of diverse perspectives, and diversity of backgrounds and cultures is essential.
- Adyen welcomes individuals from all backgrounds to be their true selves.
- Adyen encourages candidates who may not meet 100% of qualifications to reconsider and apply, especially women and members of underrepresented communities.