Data Scientist

This is Adyen

Adyen is the payments platform of choice for the world's leading companies, delivering frictionless payments across online, mobile, and in-store channels. Our team members are motivated individuals that help each other do remarkable things every day. We face unique technical challenges at scale and we solve those as a team. And together, we deliver innovative and ethical solutions that transform the way the world pays.

We took an unobvious approach to starting a payments company, building a platform from scratch. Now, Adyen serves the world's brightest companies like Facebook, Uber, L'Oreal, Casper, Bonobos, and Spotify.

Data Scientist 

Adyen is looking for a Data Scientist to join our team in Amsterdam, to jump into any problem and analyse, forecast, detect patterns and draw insights by leveraging data science algorithms and the big data platform, and thus enable teams to go beyond. 

You will be responsible for building and interpreting algorithms that power data products at Adyen. In this role, you will: 

• Obtain insights by leveraging machine learning algorithms. Examples are: 
• Anti-Money Laundering (AML) systems. 
• Real-time anomaly detection based on time-series modeling.
• On-line learning algorithms to pick the best optimization decision in a changing environment.
• Clustering algorithms to group customers/shoppers.
• Supervised and semi-supervised learning methods for inference on risk patterns
• Graph analysis and representation learning for behavior prediction and monitoring.
• Develop orchestrated pipelines for analytical purposes and machine learning training.
• Iterate with merchants and product audiences creating algorithms that power state of the art machine learning based solutions, and be able to explain the reasons behind the executed inference.
• Setup and run experiments to validate hypotheses.
• Stay up-to-date with the latest research and developments in the machine learning field, and apply this where applicable.

Who you are

• You have experience developing, training, validating, benchmarking and monitoring machine learning algorithms.
• You have experience leveraging a big data framework to create the 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, p-value, A/B testing, Bayesian) is a plus.
• You can communicate complex outcomes with clarity over a wide range of audiences.
• Technologies: Extensive knowledge of data science and statistics techniques, toolsets and algorithms, such as e.g. Spark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, Airflow, 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 unobvious approach is a product of our diverse perspectives. This diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. Our business and technical challenges are unique, we need as many different voices as possible to join us in solving them - voices like yours. So no matter where you’re from, who you love, or what you believe in, 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. Do you recognize yourself in this statement? 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 3 business days. Our interview process tends to take between 3 or 4 weeks to complete. Don’t be afraid to let us know if you need more flexibility.

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.