Senior Data Scientist

AutoScout24 GmbH
München, Germany
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

München, Germany

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Code Review
Python
Machine Learning
Large Language Models
Information Technology
Machine Learning Operations

Job description

As Senior Data Scientist, you will be 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.

WHAT YOU'LL DO

  • 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

Requirements

Do you have experience in Python?, * Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field

  • 5+ years of experience building and owning production ML systems end-to-end in a real-world environment

  • Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production

  • 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

  • Ability to influence technical decisions through clear judgment and collaboration, not formal authority

  • Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback

  • 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 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.

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