We are looking for a Senior Site Reliability Engineer to join our client’s team. Our client is a payment fraud detection company founded by online payment and AI/ML experts, with headquarters in Amsterdam, the Netherlands.

Responsibilities

• Design, implement, and maintain scalable data models for large and complex data sets related to card payments using Spark, Databricks, and other distributed computing frameworks.
• Develop and deploy machine learning models to detect and prevent fraudulent activities related to card payments.
• Collaborate with software engineers and other data scientists to develop and deploy real-time and batch-processing pipelines for the ingestion and processing of card payment data.
• Automate the training and performance monitoring of machine learning models.
• Communicate technical findings to both technical and non-technical stakeholders and provide recommendations for fraud prevention strategies.

Technical Requirements

• MSc or PhD in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in data science, with a focus on machine learning, statistical modeling, and data analysis. Experience in the payment industry is strongly preferred.
• Strong knowledge of distributed computing frameworks such as Apache Spark
• Proven track record of building and deploying machine learning models in production environments.
• Proficiency in programming languages, preferably Python and Scala
• Strong understanding of SQL and NoSQL databases and data warehousing technologies

Business orientation

• Strong commercial sense and experience with stakeholder management
• Startup mentality with a strong sense of ownership
• Pragmatic and goal-oriented — Prefers good solution that works today over perfect solution that may work in one year.
• Strongly preferred in-depth domain knowledge in payments and/or fraud detection / AML
• Strong communication and presentation skills