At Fraugster we live and work by the principle of diversity, inclusion and belonging as we care about each other & our individual needs. While we hold ourselves to the highest standards of work we believe in success achieved by people of all backgrounds, identity, gender and nationalities.
As a Data Scientist (all genders) within the Machine Learning team , you will serve our clients by maintaining and improving our payment fraud detection and credit scoring models, which are at the core of Fraugster's business. You will lead hands-on research projects to improve our scoring algorithms and partner with stakeholders in analytics, product development and engineering to make sure these improvements will be applied in production. In addition, you will train and monitor models for our clients and investigate issues with models deployed in production.
The ideal candidate should be able to conduct ML research projects independently while closely communicating with stakeholders. Besides a strong knowledge of ML algorithms, you will need to have (or to develop) a deep understanding of the payments industry in order to identify and successfully conduct projects that are valuable to the business.
How will you contribute to our mission?
To be successful at this position, we think you should have/be:
What we offer:
Fraugster is a payments intelligence company that helps the e-commerce ecosystem to minimize fraud and maximize revenue by making smarter real-time business decisions. We help our customers solve multiple use cases by giving them access to various, interoperable products via one integration. Fraugster has developed one of the most accurate AI fraud prevention solutions on the market and is backed by some of Europe's most reputable deeptech investors from Earlybird to Speedinvest, CommerzVentures and Munich Re Ventures.
Our product was built by people from all over the world and we continue to uphold the value of a diverse workforce. We are a family friendly company that supports employees in their individual life circumstances. The culture that we stand for is defined by intellectual curiosity, collaboration and caring for each other.
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