Senior Machine Learning Scientist

Adyen; Amsterdam; On-site; EUR 80,000 - 110,000; Full time

Job summary

Adyen is seeking a Senior Machine Learning Scientist to join the team in Amsterdam. In this role, you will design and implement algorithms that power data products, focusing on real-time machine learning solutions.

The ideal candidate has over 5 years of experience in machine learning, excellent knowledge of data engineering principles, and a strong toolkit in data science. This role emphasizes collaboration, experimental design, and continuous learning within the financial technology sector.

Qualifications

• 5+ years of experience as a machine learning or data scientist.
• Experience with production model lifecycle.
• Knowledge of statistical inference and machine learning techniques.

Responsibilities

• Research, design, and implement machine learning algorithms.
• Develop data pipelines for ML model training.
• Collaborate with stakeholders to define machine learning tasks.

Skills

Machine learning model lifecycle

Big data frameworks

Data engineering principles

Deep learning techniques

Statistical inference

Experiment design

Communication skills

Tools

PyTorch

TensorFlow

Apache Spark

SQL

MLFlow

Job description

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice.

Adyen is looking for a Senior Machine Learning Scientist to join the team in Amsterdam, sitting at the cornerstone of algorithms, mathematics, and engineering, and solving problems by designing and implementing production-ready machine learning solutions. You will be responsible for building, developing and deploying algorithms that power data products at Adyen.

Teams Currently Hiring:

• Optimise
• Protect
• Regulatory Reporting Technology

In this role, you will:

• 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 experiments, training runs, validation runs and monitoring before, during and after deployment. Furthermore, collaborate with MLOps to improve 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;

Who you are:

• You have 5+ years of experience as a machine learning or data scientist;
• You have experience with the full machine learning model lifecycle in production flows;
• You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data;
• You have a good understanding of software engineering practices as well as data engineering and MLOps principles;
• You have knowledge of data science, 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 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 an experimental mindset with a launch fast and iterate mentality. Extensive experience with designing and running experiments is essential;
• 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 stay up-to-date with the latest research and developments in the machine learning field, and apply this where valuable.

This role is based out of Adyen’s Amsterdam office. Adyen is an office-first company and values in-person collaboration; remote-only roles are not offered.