Senior Machine Learning Scientist

Amsterdam, Netherlands

About the Position

At Adyen, we provide payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft. We are the financial technology platform of choice, engineered for ambition. Our teams create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

We are looking for a Senior Machine Learning Scientist to join our team in Amsterdam. You will be responsible for building, developing, and deploying algorithms that power data products at Adyen.

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 ongoing automation efforts for experiments, training runs, validation runs, and monitoring.
• Collaborate 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, and perform statistical analysis to validate model performance and quantify 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 the pipelines needed to feed the models with appropriate data.
• Good understanding of software engineering practices as well as data engineering and MLOps principles.
• Knowledge of data science and statistics and machine learning techniques, including statistical inference, machine learning for prediction, and causal inference. Deep Learning experience is a plus.
• 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.
• An experimental mindset with a launch fast and iterate mentality. Extensive experience with designing and running experiments is essential.
• Proactively taking the lead in projects, from ideation to deployment. Experience working with a wide range of stakeholders and clearly communicating complex outcomes over a wide range of audiences.
• Staying up-to-date with the latest research and developments in the machine learning field, and applying this where valuable.

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Collaborative and inclusive workplace culture
• Professional development opportunities

About the Company

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft. We are the financial technology platform of choice, engineered for ambition. Our teams create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Our Diversity, Equity and Inclusion commitments

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

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!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.