Fraugster is a payment security company with the goal of eliminating fraud and increasing our customers’ profits. Over the last years we’ve invented an artificial intelligence technology that combines human-like accuracy with machine scalability. This ability lets us foresee fraudulent attacks before they actually happen and gives us a distinct competitive advantage over every other player in the payment security space.We’re already working with some of the most well-known payment and e-commerce companies in the world. Notable clients include companies like Ingenico, SIX Payments and others. Fraugster is backed by top tier investors and is currently managing billions of Euros for our clients.About the Role:As a Data Scientist at Fraugster you're positioned at a crucial intersection of the company - infusing human intelligence into machine-learning algorithms. Your day-to-day work will be about translating fuzzy human behavior into data-oriented, machine learning-based improvements, enhancing our unique fraud detection algorithms.You will partner with our risk experts, engineering and business stakeholders in order to build scalable and robust fraud prevention solutions while minding business requirements and constraints.The ideal candidate should be able to conduct ML research projects independently but also be able to collaborate when needed. Besides a strong understanding in ML algorithms, you will also be expected to have deep business understanding in order to prioritise projects that are valuable to the business. A commitment to teamwork, creativity, and strong communication skills are absolute requirements.
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We are looking forward to receiving your application!