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About the Role
Adyen is seeking a Machine Learning Scientist to design and implement production-ready machine learning solutions. This role is central to building and deploying algorithms that power Adyen's data products, involving research, development, and deployment of ML models for various applications.
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 define requirements and frame problems as 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 quantify business impact.
Requirements
- 3+ 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 pipelines for model data.
- Good understanding of software engineering practices, data engineering, and MLOps principles.
- 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.
- Extensive experience with designing and running experiments is essential.
- Experience working with a wide range of stakeholders and communicating complex outcomes to diverse audiences.
- Stay up-to-date with the latest research and developments in the machine learning field and apply them where valuable.
Skills
- Machine learning algorithms
- Data science
- Statistics
- Statistical inference
- Machine learning for prediction
- Causal inference
- Deep Learning (plus)
- Big data frameworks
- Software engineering practices
- Data engineering
- MLOps principles
- (py)spark
- (Trino) SQL
- Tensorflow
- PyTorch
- XGBoost/LightGBM
- Pandas
- MLFlow
- Airflow
- Experimental design
- A/B testing
- Statistical analysis
- Time-series modeling
- Graph analysis
- Representation learning
- Anti-Money Laundering (AML) systems
- Anomaly detection
Location
- Amsterdam
Work Type
- Office-first
- In-person collaboration
Experience Level
- 3+ years
About the Company
- Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft.
- Adyen is the financial technology platform of choice.
- At Adyen, everything is engineered for ambition.
- Adyen creates an environment with opportunities for people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers.
- Adyen's teams are motivated individuals who tackle unique technical challenges at scale and solve them as a team.
- Adyen delivers innovative and ethical solutions that help businesses achieve their ambitions faster.
Equal Opportunity
- 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!