Senior Data Scientist
Billie
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • Germany
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Job Level
About the role
- 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.
Requirements
- 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.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata miningmachine learningclassification modelsanomaly detection algorithmsgraph-based networksMLOpsdata visualizationproductionizing ML services
Soft Skills
problem-solvingcommunicationstakeholder managementtechnical mentoringdata storytellingcross-functional collaborationproject ownershiptechnical excellencerigorous experimentationactionable recommendations