Back to jobs

Senior Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Permanent — employment source
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
Read the full posting

What you’ll work on

Full posting
  • Own ML and GenAI systems end-to-end in production, from problem framing to monitoring

  • Make architectural and methodological decisions for ML systems on AWS

  • Partner with Product, Engineering, and Business leaders on ML-enabled product solutions

  • Operate and evolve ML systems deployed across multiple countries and markets

  • Mentor other data scientists through technical guidance and design reviews

From the employer’s posting
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
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
Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems

What you’ll bring

All qualifications

Core experience

  • 5+ years building and owning production ML systems end-to-end
  • Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field
  • Strong hands-on expertise in Python and modern ML frameworks
Qualification wording
5+ years of experience building and owning production ML systems end-to-end in a real-world environment
Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field
Strong hands-on expertise in Python and modern ML frameworks
Apply at AutoScout24

Posting record

Report an error

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

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

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.

  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

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

Your next step

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Munich (Germany)

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.