Data Scientist - Merchant Observability

Key Skills

Apache Airflow, Data science techniques, ETL frameworks, Pandas, Prophet, PySpark, Python Programming, SQL, XGBoost

Job Description

Merchant Observability

The Merchant Observability team, part of Adyen’s Data Solution, builds systems to detect anomalous behavior in our merchants’ payment flows–think sudden drops in transaction volumes, or downwardly-trending payment authorization rates. We also ensure that the generated alerts are routed to the team best able to resolve the underlying issue, e.g. account management for integration misconfigurations, technical support duty for platform bugs, or risk for fraud attacks. As a team, we value initiative and empowerment and strive to create a psychologically safe working environment.

Data Scientist 

Adyen is looking for a Data Scientist to join our Merchant Observability team in Amsterdam. In this role, you will: 

• Apply time series analysis and anomaly detection techniques to uncover fine-grained disruptions in our merchant's payment flows.
• Employ explainability and classification technology to categorize found anomalies to ensure they can be sent to the team best suited to resolve them.
• Develop orchestrated pipelines for ETL purposes and machine learning training.
• Iterate with internal stakeholders to improve the quality of the signals generated.
• Set up and run experiments to validate hypotheses.
• Stay up-to-date with the latest research and developments in the field, and apply this knowledge where applicable.

Who you are

• You have 5+ years of professional experience as a Data Scientist.
• You have experience developing, training, validating, benchmarking and monitoring machine learning algorithms.
• You have experience leveraging a big data framework to create the ETL pipelines needed to feed the models with appropriate data.
• You approach problems with a statistical mindset, keeping inference as a product of data science. Experience with statistical testing (confidence interval evaluation, p-value calculation, Bayesian inference) is a plus.
• You have experience taking the lead on projects: translating product requirements into engineering tasks, owning the development timeline, taking the initiative to liaise with stakeholders to clarify requirements or solicit feedback.
• You can communicate complex outcomes with clarity over a wide range of audiences.
• Technologies: Extensive knowledge of data science and Python development tooling, such as e.g. PySpark, Scikit-Learn, XGBoost, Pandas, Airflow, Pytest, Prophet, SQL.
• Mentality: An experimental mindset with a launch fast and iterate mentality. A strong statistics/mathematics background is a plus.

Data Positions at Adyen

We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. Since the birth of the Data Solution and the growth of all data streams, we categorized and defined all our positions. Have a look at this blogpost to find out!

Please note that this role is a full-time position in Amsterdam. It will require a relocation in case you live outside of the Netherlands.