autoscout24

Senior Data Scientist (m/f/d)

Remote remote Mid Salary not listed
remote Mid level Technology & IT Curated
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About the role

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.

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. This position is permanent and based in Munich. 

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 

What you’ll need  

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 

WHY Autoscout24

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.

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

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Accounting Python Senior Data Scientist Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Scientist (m/f/d) role.
  2. How would you approach your first 30 days at autoscout24?
  3. Which of Accounting, Python and Senior have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Accounting, Python and Senior.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Scientist (m/f/d) role because I can bring practical experience in Accounting, Python and Senior, learn the team quickly, and contribute to the outcomes autoscout24 needs from this hire.

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