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 the Data Science Manager for Fraud prevention, you will lead a high-impact team within the broader Decision Science group. You will be responsible for defining the strategic roadmap, mentoring data scientists, and ensuring the successful execution of robust, scalable machine learning solutions aimed at preventing fraud, which has a direct and measurable impact on Billie's business. You will define the analytical approach, approve hypotheses for experimentation, and oversee in-depth analysis to understand debtor behavioral patterns and emerging fraud trends.
In more detail, you will:
Lead and mentor a small, dedicated team of data scientists, guiding their professional development, managing project priorities, and ensuring the delivery of high-quality, impactful anti-fraud solutions.
Apply your extensive expertise in quantitative analysis, data mining, data science, and advanced ML to model debtor behavioral patterns, identify risk factors, and optimize Billie's real-time decision engine logic. This role is as much hands-on as it is leadership.
Work as a leader within cross-functional teams of data and software engineers, analysts, product managers, and business leaders to optimize Billie’s decision engine by improving its logic, introducing new data sources, and enhancing functionalities.
Ensure the successful deployment and operationalisation of ML services, collaborating closely with Engineering on requirements for robust ML infrastructure, including containerization and event-driven architectures.
Maximize the impact of findings on critical business decisions through excellent data storytelling and clear, actionable recommendations.
6+ years of total experience in a data-driven, quantitative, or machine learning role.
You have proven experience managing, mentoring, or formally leading a team of Data Scientists or analysts.
Proficient in Python (pandas, scikit-learn, xgboost) and SQL (MySQL, Postgres, Snowflake), and data visualization tools like Tableau.
Proven experience with general classification models (classical and deep learning), anomaly detection algorithms, and graph networks.
Proven experience leading or contributing significantly to the deployment and productionizing of ML services, demonstrating a deep understanding of modern MLOps concepts like containerization and event-driven architectures.
Expertise in managing both technical and executive/non-technical stakeholders to align priorities and gain buy-in.
Strong problem-solving capabilities coupled with business understanding and the ability to translate complex business problems into the team’s analytical and technical requirements.
Excellent communication and data storytelling skills, with a track record of maximizing the impact of the findings on organizational decision-making and cross-functional engagement.
Experience with ML orchestration frameworks like Metaflow, Apache Flink and similar MLOps tools.
What We Offer:
Challenging and impactful work that drives personal and professional growth
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
A yearly development budget to broaden your skill set and horizons
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!
Billie is an equal opportunity employer and we do not discriminate on the basis of race, color, religion, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic. We are committed to creating an inclusive environment where everyone feels they belong. All qualified applicants are welcome and we especially encourage you to apply, even if you don't check every box in the job description.
For information about data processing see our "Recruiting Privacy Policy and further information": https://www.billie.io/en/candidate-information
Top Skills
What We Do
Billie is the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services. Founded in Berlin, the FinTech enables companies to pay and get paid on their own terms simply and easily through modern checkout solutions. Based on proprietary, machine-learning-enabled risk models, fully digitized processes and a highly scalable tech platform, Billie offers freedom to big and small businesses alike through fast liquidity, automated workflows and access to modern payment solutions. Billie was founded in 2016 by the former founders of Zencap (exit to Funding Circle). The startup is based in Berlin and employs over 180 people from over 45 countries. Investors include Dawn Capital, Tencent, Creandum, Picus and SpeedInvest, among others.
Billie Privacy Policy: https://www.billie.io/en/privacy-policy
