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 Senior Data Scientist within the Credit Decision 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 problems, driving a direct and measurable impact on Billie's key strategic goals.
In more detail, you will:
Drive the technical solution and execution of high-quality, impactful ML solutions across multiple domains within the Decision Science team, ensuring project success from conception to production.
Apply exceptional hands-on expertise in quantitative analysis, data mining, data science, and advanced ML to model complex business patterns, identify risk factors, and optimize Billie's real-time decision engine logic for various use cases.
Define and execute the analytics for complex, cross-domain problems, including developing hypotheses for experimentation, designing A/B tests, and synthesizing results into actionable insights.
Serve as a technical leader and subject matter expert within cross-functional teams (Data/Software Engineers, Analysts, Product Managers, Business Leaders) to enhance and optimize the decision engine by improving its logic, integrating new data sources, and enhancing functionalities.
What You Bring to the Team:
6+ years of Data Science experience, with significant exposure to the credit domain. You should have experience building scorecards, limit policies and portfolio management.
Hands-on proficiency in Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery, etc.), and experience with data visualization tools like Tableau.
Proven experience leading the deployment and productionizing of ML services, demonstrating a deep understanding of modern MLOps concepts like containerization (e.g., Docker, Kubernetes), event-driven architectures, and model monitoring.
Hands-on experience with graph databases (e.g., Neo4j) to model, analyze, and extract features from highly interconnected data is also highly desired.
Strong business acumen and the ability to translate complex business problems into clear analytical and technical requirements that deliver maximum value.
Excellent communication and data storytelling skills, with a track record of maximizing the impact of technical findings on organizational decision-making.
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
