Machine Learning Scientist (Regulatory Reporting Technology)

• We are looking for a Machine Learning Scientist to help us further automating and scaling our global regulatory reporting framework to keep Adyen compliant across all markets
• Build – Design and scale production-ready ML models to support regulatory reporting and risk requirements. You will own the end-to-end lifecycle, from feature engineering within our Big Data ecosystem (Spark/Hadoop) to building the internal infrastructure
• Discover – Move beyond simple detection to build automated root-cause analysis. You will develop logic that translates complex statistical signals into actionable recommendations
• Collaborate – Work at the heart of a product-driven team. You will sit close to our users, gathering continuous feedback to ensure our technical solutions solve real-world business friction and drive product adoption

Benefits

• Global exchange program
• Weekly happy hour
• Delicious healthy lunches
• Phantom share package
• Yearly trip to Amsterdam
• Paid holidays
• Work from home opportunities- You have a strong interest in Causal Inference, you want to prove why something happened, not just that it happened
• Experience with SparkStreaming/Flink, Docker and Kubernetes is a plus
• You have an Engineering-First mindset. You treat ML code like production code and are comfortable managing your own deployments and infrastructure
• You are proficient in Python and Big Data frameworks (PySpark, Airflow, Hadoop, Kafka)
• You have 4+ years of experience as a Machine Learning Engineer or Data Scientist (Anomaly Detection, Time-Series, or Signal Processing)
• You are a pragmatic problem solver. You prioritize business impact and reliability over model complexity, choosing the right tool for the job to ship solutions that work today
• You are proactively taking the lead in projects, from ideation to deployment. You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes to a wide range of audiences
• You can confidently work in a product team with demanding stakeholders, are able to communicate effectively and have the ability to drive the team’s roadmap, alongside the product and engineering leadership of the team
• 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!- 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