LeadCreditRiskDataScientist

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability. About the Role: As a Lead Data Scientist within the Credit Data Science team, you will serve as a domain expert responsible for the end-to-end design, development, and productionization of robust, scalable machine learning solutions for our credit and portfolio management domain. This role requires a deep understanding of the business and the ability to apply your expertise to the most pressing challenges, driving a direct and measurable impact on Billie's P&L. Reporting directly to the VP of Data Science and based in Berlin, this is a senior technical leadership role; you will own Billie's credit risk modeling domain end-to-end end-to-end, work in close partnership with Engineering, Product, and Data Science peers, and play a central role in shaping and executing on the roadmap for state-of-the-art ML models and applied AI that power our fast-growing business.   In more detail, you will: - Take ownership over one of the most important KPIs leading to Billie’s success, directly impacting our P&L with your expertise. - Drive the technical solution and execution of high-quality, impactful ML solutions across multiple domains within the Data Science team, ensuring project success from conception to production. - Identify and apply advanced AI methodologies to push Billie's credit scoring capabilities b