Data Scientist

About the role

As a Data Scientist within the Decision Science group, you will serve as a cross-domain expert responsible for the end-to-end design, development, and productionization of robust, scalable machine learning solutions across various critical business areas such as credit risk. This role requires deep business understanding and the ability to drive direct, measurable impact on Billie's key strategic goals.

What you'll do

• Drive technical solution and execution of high-quality, impactful ML solutions across multiple domains within the Decision Science team
• Apply hands-on expertise in quantitative analysis, data mining, and advanced ML to model complex business patterns and identify risk factors
• Define and execute analytics for complex, cross-domain problems, including developing hypotheses for experimentation and designing A/B tests
• Serve as technical leader and subject matter expert within cross-functional teams to enhance and optimize the decision engine
• Ensure successful deployment and operationalisation of ML services, collaborating closely with Engineering on service integration

What you'll need

• 4+ years of experience in data-driven, quantitative, or machine learning role with demonstrable ML expertise
• Hands-on proficiency in Python (pandas, scikit-learn, xgboost, PyTorch/TensorFlow) and SQL (Snowflake, BigQuery)
• Expertise in applying and productionizing various advanced ML models (classification, deep learning, anomaly detection, graph networks)
• Proven experience leading deployment and productionizing of ML services with deep understanding of MLOps concepts
• Experience with orchestration frameworks like Metaflow, Kubeflow, Airflow or similar MLOps tools
• Hands-on experience with graph databases (Neo4j) to model and analyze interconnected data
• Strong business acumen and ability to translate complex business problems into technical requirements
• Excellent communication and data storytelling skills

Nice to have

• Experience developing and deploying data science solutions within fraud, credit risk, or fintech/risk domains
• Experience with data visualization tools like Tableau

What they offer

• Virtual Shares Incentive Program
• Flexible work hours and hybrid working (up to 3 days WFH per week)
• 30 days vacation per year, sabbatical opportunities, and extra child sickness leave
• Discounted access to Berlin Public Transport, Deutschland-Ticket, or JobRad
• Yearly development budget and free German group classes
• Company events, interest groups, run club, and game nights