Billie is hiring a Senior Data Scientist to join the Decision Science group. As a cross-domain expert, you will be responsible for the end-to-end design, development, and productionization of robust, scalable machine learning solutions that directly impact critical business areas like fraud prevention and credit risk.
What You'll Do
- Drive the technical solution and execution of high-quality, impactful ML solutions across multiple domains, ensuring success from conception to production.
- Apply hands-on expertise in quantitative analysis, data mining, and advanced machine learning to model complex business patterns and optimize Billie's real-time decision engine.
- Define and execute analytics for complex, cross-domain problems, including designing A/B tests and synthesizing results into actionable insights.
- Serve as a technical leader within cross-functional teams to enhance the decision engine by improving logic, integrating data sources, and adding functionalities.
- Ensure successful deployment and operationalisation of ML services by collaborating closely with Engineering.
What We're Looking For
- 6+ years of experience in a data-driven, quantitative, or machine learning role, with a focus on deep technical execution.
- Hands-on proficiency in Python (pandas, scikit-learn, xgboost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery), plus experience with data visualization tools like Tableau.
- Expertise in applying and productionizing advanced ML models like classification, deep learning, anomaly detection, and graph networks.
- Proven experience leading the deployment and productionizing of ML services with a deep understanding of modern MLOps concepts like containerization and model monitoring.
- Experience with orchestration frameworks like Metaflow, Kubeflow, or Airflow.
- Hands-on experience with graph databases (e.g., Neo4j) to model and analyze interconnected data.
- Strong business acumen and ability to translate complex problems into clear analytical and technical requirements.
- Excellent communication and data storytelling skills with a track record of maximizing the impact of technical findings.
Nice to Have
- Proven experience developing and deploying data science solutions within fraud, credit risk, or other fintech/risk domains.
Technical Stack
- Languages & Libraries: Python, pandas, scikit-learn, xgboost, PyTorch/TensorFlow
- Data & Infrastructure: SQL, Snowflake, BigQuery, Tableau
- MLOps & Orchestration: Docker, Kubernetes, Metaflow, Kubeflow, Airflow
- Graph: Neo4j
Team & Environment
You will be part of the Decision Science group, working within cross-functional teams alongside Data and Software Engineers, Analysts, Product Managers, and Business Leaders.
Benefits & Compensation
- Challenging, impactful work that drives personal and professional growth.
- One of the best Virtual Shares Incentive Programs in the market.
- Flexible work hours and trust in your ability to deliver.
- 30 days of vacation per year, sabbatical opportunities, and extra child sickness leave for parents.
- “Catch a Ride with Billie” program for discounted access to Berlin Public Transport (BVG), Deutschland-Ticket, or JobRad.
- A yearly development budget to broaden your skill set.
- Free German group classes.
- An English-speaking, multicultural team with more than 40 nationalities.
- Company and team events, interest groups, run club, and game nights.
Work Mode
This is a hybrid role based in Berlin, allowing you to work from home for up to 3 days per week.
Billie is an equal opportunity employer committed to creating an inclusive environment and does not discriminate on the basis of race, color, religion, sexual orientation, gender identity or expression, national origin, age, disability, or any other protected characteristic.
