Advanced Data Scientist

1 week geleden


Amsterdam, Noord-Holland, Nederland Adyen Voltijd

About Adyen


Adyen is a leading financial technology platform that provides payments, data, and financial products to businesses like Facebook, Uber, H&M, and Microsoft. Our mission is to empower businesses to achieve their ambitions faster.


Your Role


We are seeking an experienced Senior Machine Learning Scientist to join our team in Amsterdam. As a key member of our machine learning team, you will be responsible for designing, implementing, training, deploying, and monitoring machine learning algorithms that power our data products. You will work on a wide range of projects, from anti-money laundering systems to real-time anomaly detection, and contribute to the development of our machine learning tooling.


Key Responsibilities



  • Design, implement, train, deploy, and monitor machine learning algorithms for batch prediction and 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.
  • Create and iterate on state-of-the-art machine learning algorithms with both merchant and product audiences.
  • Stay up-to-date with the latest research and developments in the machine learning field and apply this knowledge where applicable.

Requirements


To be successful in this role, you should have:



  • 8+ years of experience as a machine learning or data scientist.
  • Experience with the full machine learning model lifecycle in production flows.
  • Experience leveraging big data frameworks to create pipelines for feeding models with appropriate data.
  • A good understanding of software engineering practices, 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.
  • Familiarity with standard data science tools, such as (py)spark, SQL, Scikit-Learn, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, and Airflow.
  • An experimental mindset with a launch-fast-and-iterate mentality, extensive experience with designing and running experiments.
  • The ability to take the lead in projects, from ideation to deployment, and communicate complex outcomes to various audiences.

Salary


The estimated salary for this position is €120,000 - €180,000 per year, depending on experience.



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