Reads like a Data Leadership role: running a data team.
Munich (Germany)
Open 7 months, first seen by us 223 days agoDefine and own the data science and AI strategy across the organization
Lead development and scaling of predictive and generative AI models
Build and operate production-ready ML solutions on AWS
Ensure model quality, monitoring, governance, and compliance in production
Mentor and develop data scientists as senior technical advisor
define and own the data science and AI strategy across the organization
lead development and scaling of predictive and generative AI models for marketplace and fintech use cases
build and operate production-ready ML solutions using AWS services (e.g. SageMaker, S3, Lambda, EMR, etc.)
ensure model quality, monitoring, governance, and compliance in production
mentor and develop data scientists and act as senior technical advisor
10+ years of experience in data science, machine learning, or applied AI
strong hands-on skills in Python, SQL, and common ML frameworks
proven experience with GenAI and LLMs in real products
strong experience with AWS and its ML/data ecosystem (e.g. SageMaker, S3, EKS, Lambda, IAM)
solid background in cloud platforms, MLOps, and model deployment
Open 7 monthsWe first saw this posting 223 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 223
Up longer than most. Similar jobs usually come down between day 7 and day 54.
Well past AutoScout24’s usual: its jobs come down by about day 24.
From 7,965 similar postings that came down, and 5 of AutoScout24’s. Coming down is not always a hire.
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.
- 10+ years of experience in data science, machine learning, or applied AI - strong hands-on skills in Python, SQL, and common ML frameworks - proven experience with GenAI and LLMs in real products
- partner with product and business leaders to align ML initiatives with company goals - design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS - build and operate production-ready ML solutions using AWS services (e.g. SageMaker, S3, Lambda, EMR, etc.)
- design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS - build and operate production-ready ML solutions using AWS services (e.g. SageMaker, S3, Lambda, EMR, etc.) - ensure model quality, monitoring, governance, and compliance in production
- proven experience with GenAI and LLMs in real products - strong experience with AWS and its ML/data ecosystem (e.g. SageMaker, S3, EKS, Lambda, IAM) - solid background in cloud platforms, MLOps, and model deployment
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Yes. We’ve followed one other Principal Data Scientist job there since March 2026. It came down after 5 days.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
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.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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 Principal Data Scientist, you will define and drive the data science strategy across AutoScout24, with a strong focus on AI, machine learning, and Generative AI. You will work closely with product, engineering, and business leaders to turn data into scalable products that create clear business impact. You will lead senior data scientists and act as a technical role model across the company.
WHAT YOU’LL DO
YOU COME WITH
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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Munich (Germany)
Working pattern and location restrictions need checking in the full posting.
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