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Data Scientist, Merchant Observability



Data Science
Amsterdam, Netherlands
Posted on Tuesday, August 8, 2023

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. At Adyen, everything we do is engineered for ambition.

For our teams, we 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. The people of Adyen 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.

This is 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 automatically 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!

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.