Senior Data Scientist, Economics (mfd)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Join AutoScout24 and help shape the machine learning systems that power our marketplaces and dealer platforms across Europe and Canada.
Our data science team builds andoperatesmachine learning systems that powervehicle 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 bymillions of usersacross our platforms.
As Senior Data Scientist Economics you will design build and evolve the machine learning systems behind these pricing and valuation capabilities. You will work on complex and often ambiguous problems exercising strong technical judgment to translate marketplace dynamics into reliable production systems.
This is a hands-on role where you design build andoperatemachine learning econometric and GenAI systems that run in production and matter to the business. At the same time you will influence technical direction raise the bar for engineering practices and enable other data scientists and engineers to succeed.
You will collaborate closely withProduct Engineering and business stakeholdersacross AutoScout24AutoProffLeasingMarkt and Trader to turn marketplace challenges into scalable ML-driven products.
This role is based in Munich and is part of a global team collaborating across Europe and Canada.
WhatYoullDo
- Own ML econometric and GenAI systems end-to-end in production from problem framing and system design to deployment monitoring and continuous improvement
- Design and implement machine learning models supporting vehicle pricing and valuation across products and markets
- Help define and evolve the groups cross-market valuation framework for B2B B2C and C2B vehicle transactions
- Translate marketplace dynamics such as supplydemand patterns vehicle attributes and transaction data into scalable modeling approaches
- Make sound architectural and methodological decisions for ML systems on AWS balancing robustness observability cost and long-term maintainability
- Identify where GenAI techniques can enhance valuation systems such as extracting signals from unstructured vehicle data or improving modeling workflows
- Partner with Product and Engineering teams to turn ambiguous marketplace problems into ML-enabled product capabilities with clear outcomes
- Operate and evolve ML systems deployed across multiple countries and markets in Europe and Canada
- Mentor other data scientists through hands-on collaboration design reviews and shared ownership of systems
What youll bring:
- A degree in Computer Science Engineering Mathematics Economics Econometrics or a related quantitative field or equivalent practical experience
- Several years of experience building and operating machine learning or quantitative systems in production
- Strong hands-on expertise in Python and modern ML frameworks with the ability to ship operate and evolve ML systems in production
- Experience deploying and operating ML systems on AWS or comparable cloud platforms
- Solid understanding of machine learning system design experimentation and MLOps practices
- Experience applying GenAI techniques in applied or production contexts with a clear understanding of trade-offs and limitations
- Strong understanding of marketplace dynamics pricing or valuation problems and the ability to translate these into quantitative models
- Ability to influence technical decisions through strong judgment and collaboration not formal authority
- Experience supporting and guiding other data scientists through technical feedback and code reviews
- Strong sense of ownership and accountability for outcomes with a pragmatic approach to trade-offs and delivery
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:
Senior IC
