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
Open 5 monthsWe first saw this posting 161 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
May 28, 2026161 days ago
Recorded sightings
88
Last seen by us
Nov 5, 2026
May 28, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 161
756
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past AutoScout24’s usual: its jobs come down by about day 24.
From 10,194 similar postings that came down, and 5 of AutoScout24’s. Coming down is not always a hire.
AutoScout24 is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
AWS
Where the posting names them
- 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
- 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
- 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
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Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
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.