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. As a (Senior) Data Scientist for Fraud Prevention, you will be a key technical pillar within the broader Decision Science group. You will be responsible for designing and building robust, scalable machine learning solutions aimed at preventing fraud. Design and execute high impact anti-fraud solutions, taking full ownership of project priorities and ensuring the delivery of high-quality, production-ready models.
Apply extensive expertise in quantitative analysis, data mining, and advanced ML to model debtor behavioral patterns, identify risk factors, and optimize Billie's real-time decision engine logic.
Collaborate deeply within cross-functional teams of data and software engineers, analysts, and product managers to improve decision engine logic, integrate new data sources, and enhance system functionalities.
Maximize the impact of technical findings on critical business decisions through excellent data storytelling and clear, actionable recommendations for stakeholders.
3-5+ years years of experience in a data-driven, quantitative, or machine learning role, ideally within fintech or a high-transaction environment. Direct experience in fraud prevention, risk modeling, or a high-transaction fintech environment is highly preferred.
~ Advanced proficiency in Python (pandas, scikit-learn, xgboost) and SQL (Snowflake, Postgres, or MySQL), with a strong grasp of data visualization tools like Tableau.
~ Hands-on experience productionizing ML services, demonstrating a strong understanding of modern MLOps concepts such as containerization (Docker/Kubernetes) and event-driven architectures.
~ Strong communication skills, with a track record of using data to influence organizational strategy and drive cross-functional engagement.
~ One of the best Virtual Shares Incentive Programs in the market, so that everyone at Billie is invested in our success
Flexible work hours and trust in your ability to deliver, empowering you to take control of your work-life balance
A hybrid working approach that allows you to work from home for up to 3 days per week
Enjoy 30 days vacation per year, sabbatical opportunities, and extra child sickness leave for parents.
Our “Catch a Ride with Billie” program that enables discounted access to Berlin Public Transport (BVG), Deutschland-Ticket, OR JobRad
Free German group classes
An English-speaking, multicultural team with more than 40 nationalities
Building meaningful connections with your colleagues through company and team events, interest groups, the Billie run club, game nights, and more, powered by our Formula Fun Team!
All qualified applicants are welcome and we especially encourage you to apply, even if you don't check every box in the job description.
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