Data Scientist Economics (mfd)
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Join AutoScout24 Group and help build the machine learning systems that power our marketplaces and dealer platforms across Europe and Canada.
Our data science team builds and operates the machine learning systems that power vehicle pricing and valuation across our marketplaces and dealer platforms. These systems influence how vehicles are priced traded and valued across multiple products and markets powering products used by millions of users across our platforms.
As Data Scientist Economics you will build and operate the machine learning systems behind these pricing and valuation capabilities. Working with large-scale marketplace and transaction data you will develop models that generate reliable vehicle price estimates and support B2B B2C and C2B vehicle transactions across multiple markets.
This is a hands-on role where you design build and operate machine learning and GenAI systems that run in production and matter to the business. You will work closely with Product Engineering and business teams across AutoScout24 AutoProff LeasingMarkt and Trader to translate marketplace challenges into scalable ML-driven products.
At AutoScout24 we actively adopt AI and GenAI approaches where they create meaningful product this role you will apply GenAI techniques where they improve valuation systems - for example by extracting signals from unstructured vehicle data or enhancing feature generation.
What Youll Do
- Build and operate machine learning models supporting vehicle pricing and valuation across our marketplaces and dealer platforms
- Contribute to the groups cross-market valuation framework supporting B2B B2C and C2B vehicle transactions
- Translate marketplace signals such as vehicle attributes transaction data and supplydemand dynamics into robust modeling approaches
- Own models end-to-end in production from problem framing and modeling to deployment monitoring and continuous improvement
- Collaborate closely with Product and Engineering teams to integrate ML systems into scalable product platforms and APIs
- Apply GenAI techniques where they improve modeling pipelines such as extracting signals from unstructured vehicle data
- Monitor model performance and continuously improve reliability accuracy and product impact
- Work with large-scale marketplace data across multiple countries and markets in Europe and Canada
You Bring
- Advanced degree in Computer Science Engineering Mathematics Economics Econometrics or a related quantitative field or equivalent practical experience
- 2 years of experience building machine learning or quantitative models with experience deploying models in production environments
- Strong hands-on expertise in Python and modern ML frameworks
- Experience deploying models via APIs and working with AWS or comparable cloud infrastructure
- Solid understanding of machine learning methods evaluation monitoring and MLOps practices
- Exposure to GenAI techniques such as embeddings retrieval-based systems or LLM-based applications
- Interest in marketplace dynamics pricing or valuation problems and the ability to translate these into quantitative models
- Ability to communicate technical concepts clearly to both 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.
Required Experience:
IC
