TL;DR
Data Scientist (Economics): Designing and deploying predictive and generative AI systems to power marketplace and fintech solutions with an accent on quantitative modeling and end-to-end ML production. Focus on integrating ML components into scalable systems and driving business value through robust, data-driven insights.
Location: Must be based in Munich, Germany (Onsite)
Company
A leading international automotive digital marketplace transforming the way the world moves through constant innovation.
What you will do
- Design, build, and deploy predictive and generative AI systems for marketplace and fintech use cases
- Own complex quantitative modeling and ML projects from problem framing to production and iteration
- Integrate ML and GenAI components into scalable product architectures
- Translate business goals into robust, data-driven analytical solutions
- Monitor and improve model performance, reliability, and impact in production
- Collaborate with product and engineering teams to ship measurable AI-enabled features
Requirements
- Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- Strong working knowledge of economics, pricing, or business operations
- 3-5+ years of experience building and deploying quantitative and ML systems in production
- Hands-on proficiency in Python, SQL, and modern machine learning frameworks
- Experience deploying models via APIs and utilizing cloud infrastructure like AWS
- Solid understanding of ML methods, MLOps, and model monitoring
Culture & Benefits
- International community with over 50 nationalities represented
- Supportive environment with access to tools and training for professional growth
- Culture of innovation and problem-solving with AI-driven ways of working
- Commitment to diversity, inclusion, and employee wellbeing