Data Scientist Economics (mfd)

A career driven by you.Join AutoScout24 Group and experience life in the fast just leading the market;werecreating innovatingevolvingand transforming things for our determined to do our bestworktogether. For a career thatdoesntstand still where you can put your ideas in the driving seat and change the way the world moves join our international community.

AsDataScientist Economics you will be part of our global Data Science team and buildquantitativeand machine learning-drivensolutions thatimpactmillions of users worldwide. You will work closely with product engineering and business teams to turn data into scalable ML products that drivereal businessvalue. You will own models end to end from idea to production with a strong focus on implementation and AutoScout24 we embrace new AI-driven ways of working and problem a Data Scientist Economics you will solvechallengescore forthe AS24group as a position is unlimited andlocatedin Munich.

WHAT YOULL DO

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

• Owncomplex quantitative modellingand 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 deployingquantitative andML 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 andMLOpspractices

• 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 representedwereproud to welcome people of all backgrounds to our growing community andwerealways finding new ways to help people feel welcomed and included. Hereyoullhave the toolstrainingand support you need to work in a way that suits you learn newskillsand reach your potential.

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