Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you design and operate ML and GenAI systems for our platforms, take full ownership of their production deployment, and collaborate with other teams to solve complex problems.
Job Technologies
Your role in the team
- As Senior Data Scientist, you will be a key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.
- You design, build, and operate machine learning and GenAI systems that run in production and matter to the business.
- You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models.
- While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.
- Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement.
- Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability.
- Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes.
- Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints.
- Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems.
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Our expectations of you
Education
- Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field.
Qualifications
- Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production.
- Ability to influence technical decisions through clear judgment and collaboration, not formal authority.
- Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery.
Experience
- 5+ years of experience building and owning production ML systems end-to-end in a real-world environment.
- Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale.
- Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations.
- Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback.
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What we offer
- This position is permanent and based in Munich.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
AutoScout24 GmbH
AutoScout24 ist europaweit das größte online Automobil-Anzeigenportal. Der Marktplatz ermöglicht es seinen Kunden, sich den Traum vom eigenen Auto einfach, effizient und stressfrei zu erfüllen. Auf AutoScout24 können Händler und Privatverkäufer Anzeigen für Gebraucht- und Neuwagen schalten. Darüber hinaus bietet das Portal seinen Kunden Werbeprodukte an, wie zum Beispiel Display-Werbung und Produkte für die Interessentengewinnung unter anderen Teilnehmern im Automobilsektor und in angrenzenden Märkten. In Deutschland genießt AutoScout24 in seiner Zielgruppe eine einzigartige gestützte Markenbekanntheit von 95 Prozent.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade, Internet, IT, Telecommunication
Senior Data Scientist
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
