Design and implement high-impact anti-fraud solutions, taking full ownership of project priorities and ensuring delivery of high-quality, production-ready models.
Apply deep expertise in quantitative analysis, data mining, and advanced machine learning to model debtor behavior, identify risk factors, and optimize Billie’s real-time decision engine logic.
Collaborate closely with cross-functional teams of data and software engineers, analysts, and product managers to improve decision engine logic, integrate new data sources, and enhance system functionality.
Own the deployment and operationalization of ML services, working closely with Engineering to define requirements for robust infrastructure, including containerization and event-driven architectures.
Act as a technical mentor to junior team members, fostering a culture of technical excellence, rigorous experimentation, and best-in-class coding standards.
Maximize the impact of technical findings on key business decisions through excellent data storytelling and clear, actionable recommendations for stakeholders.

3–5+ 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 strong familiarity with data visualization tools such as Tableau.
Deep technical expertise in classification models (both classical and deep learning), anomaly detection algorithms, and graph-based networks.
Hands-on experience productionizing ML services, with a solid understanding of modern MLOps concepts such as containerization (Docker/Kubernetes) and event-driven architectures.
Proven ability to manage stakeholders across technical and non-technical functions, aligning technical roadmaps with business priorities.
Strong problem-solving skills with the ability to translate complex business challenges into clean, efficient, and scalable technical requirements.
Excellent communication skills, with a track record of using data to influence organizational strategy and drive cross-functional engagement.
Experience with ML orchestration frameworks such as Metaflow, Apache Flink, or similar MLOps tooling.

Challenging and impactful work that supports personal and professional growth
Highly competitive Virtual Share Incentive Program so everyone at Billie is invested in our success
Flexible working hours and trust in your ability to deliver, enabling you to manage your work-life balance
Hybrid working model with up to 3 days per week remote work
30 days of vacation per year, sabbatical opportunities, and additional child sickness leave for parents
“Catch a Ride with Billie” program offering discounted access to Berlin public transport (BVG), Deutschland-Ticket, or JobRad
Annual personal development budget to expand your skills and horizons
Free German group language classes
An English-speaking, multicultural team with more than 40 nationalities
Company and team events, interest groups, the Billie run club, game nights, and more, organized by our Formula Fun Team to foster connections

Senior Data Scientist

Key skills