Billie is hiring a Senior Data Scientist to join our Credit Decision Science team in Berlin. 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 drives a direct and measurable impact on Billie's key strategic goals.
What You'll Do
- 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 to enhance and optimize the decision engine by improving its logic, integrating new data sources, and enhancing functionalities.
What We're Looking For
- 6+ years of Data Science experience, with significant exposure to the credit domain.
- Experience building scorecards, limit policies, and portfolio management.
- Hands-on proficiency in Python (pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery, etc.).
- 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.
- 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.
Nice to Have
- Hands-on experience with graph databases (e.g., Neo4j) to model, analyze, and extract features from highly interconnected data.
Technical Stack
- Python, pandas, scikit-learn, XGBoost, PyTorch/TensorFlow
- SQL, Snowflake, BigQuery
- Tableau
- Docker, Kubernetes
- Neo4j
Team & Environment
You will work within cross-functional teams with Data/Software Engineers, Analysts, Product Managers, and Business Leaders. At Billie, we love building simple and elegant solutions and strive for automation and scalability in an inclusive environment where everyone feels they belong.
Benefits & Compensation
- Challenging and impactful work that drives personal and professional growth
- One of the best Virtual Shares Incentive Programs in the market
- Flexible work hours
- 30 days vacation per year
- Sabbatical opportunities
- Extra child sickness leave for parents
- Discounted access to Berlin Public Transport (BVG), Deutschland-Ticket, OR JobRad via 'Catch a Ride with Billie' program
- A yearly development budget
- Free German group classes
- English-speaking, multicultural team with more than 40 nationalities
- Company and team events, interest groups, run club, game nights
Work Mode
This is a hybrid role based in Berlin, with a flexible working approach allowing you to work from home for up to 3 days per week.
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.
