Data Scientist - Economics (m/f/d)

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving, and transforming things for our customers. We’re driven, ambitious, and determined to do our best work together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. 

As Data Scientist, Economics, you will be part of our global Data Science team and build quantitative and machine learning-driven solutions that impact millions of users worldwide. You will work closely with product, engineering, and business teams to turn data into scalable ML products that drive real business value. You will own models end to end, from idea to production, with a strong focus on implementation and impact.  At AutoScout24, we embrace new, AI-driven ways of working and problem solving. As a Data Scientist, Economics, you will solve challenges core for the AS24 group as a whole. This position is unlimited and located in Munich.  

WHAT YOU’LL DO  

• Design, build, and deploy predictive and generative AI systems that power marketplace and fintech use cases  

• Own complex quantitative modelling and ML use cases end-to-end — from problem framing and modeling to deployment, monitoring, and iteration  

• Integrate ML and GenAI components into scalable product systems  

• Translate product and business goals into robust, data-driven solutions  

• Monitor model performance in production and continuously improve reliability and impact  

• Collaborate closely with Product and Engineering to ship measurable AI-enabled features  

YOU COME WITH  

• Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience  

• Strong working knowledge of economics, pricing, or business operations, serving as a subject matter expert to the business 

• 3 - 5+ years of experience building and deploying quantitative and ML systems in production  

• Strong hands-on skills in Python, SQL, and modern ML frameworks  

• Experience deploying models via APIs and working with AWS or comparable cloud infrastructure  

• Solid understanding of ML methods, evaluation, monitoring, and MLOps practices  

• Experience integrating ML or GenAI components into real-world software systems  

• Ability to communicate complex concepts clearly to technical and non-technical stakeholders  

• Curiosity, ownership mindset, and drive to continuously improve systems and products  

  
A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  

For a career where you can drive our business and shape your future, apply now.