Data Scientist (m/f/d)

Join the Data Science team at AutoScout24 and play a leading role in building high-impact data products powered by machine learning. Though an established industry leader, AutoScout24 retains a startup culture in which your innovative ideas can be put to the test and impact millions of users. The Data Science team partners with groups across the company and leverages state-of-the-art technology to offer solutions that set AutoScout24 apart.  

 At AutoScout24, we appreciate different lifestyles and cultural backgrounds.  We welcome diversity as a strength. Our organization is, e.g. made up of more than 50+ different nationalities, all working together inclusively and respectfully.  

What you will do:

• Drive innovation with real impact 

Be at the forefront of transforming the automotive marketplace by building AI-driven products that reach millions of users. Whether you’re improving personalization, automating decisions, or exploring Generative AI use cases (LLMs, retrieval-augmented generation, embeddings, etc.), your work will directly shape customer experiences and business outcomes. 

• Work on end-to-end product development 

Take full ownership of your data science products – from data ingestion and model development to deployment and performance monitoring in production. You’ll work autonomously while being supported by a strong tech foundation and a culture of ownership and trust. 

• Experiment with Generative AI 

Join a team actively exploring the latest developments in GenAI and LLMs. You’ll get to prototype, evaluate, and produce solutions that push the boundaries of what’s possible – whether that’s with OpenAI APIs, Hugging Face models, or vector databases. 

• Thrive in a truly global team 

Collaborate closely with teammates in Canda and across Europe by contributing to a vibrant, international culture of shared success. The scale of our Data Science team provides depth of expertise, diverse perspectives, and plenty of sparring partners. 

• Shape strategy with stakeholders 

Become a trusted partner to product managers, engineers, and business stakeholders. Your insights will drive decision-making, and your models will become embedded into key user-facing and operational features. 

• Grow in a supportive, curious culture 

From collaborative code reviews and tech sparring sessions to brown bags and hackathons, we believe in learning together. We support your development through mentorship, external training, and hands-on work with cutting-edge tech stacks. 

What you should bring:  

• Excellent academic background in a quantitative field such as computer science, engineering, economics, etc, a PHD is a plus
• Strong proficiency in Python, SQL and specialized ML libraries (e.g. scikit-learn, TensorFlow, PyTorch) 
• Solid understanding of the benefits and drawbacks of different ML algorithms incl. knowledge of deep learning models
• First-hand experience working with relational/no-SQL databases and query technologies (e.g. Postgres, MongoDB, Presto, Hive)
• Experience building and maintaining scalable ETL/ELT pipelines, or proficiency with data orchestration tools such as Airflow or AWS Glue
• First-hand experience working with Docker, AWS services (e.g. S3, EC2, CloudWatch, CloudFormation), and modern CI/CD tools like GitHub Actions
• First-hand experience in deploying, maintaining, and updating models in production, as well as tracking experiments using tools such as MLflow, Weights & Biases, or Datadog as well as experience in serving ML models via APIs (e.g. Flask, FastAPI)
• Experience working end-to-end (from ideation to deployment) to deliver production-ready data products
• Working collaboratively within a Data Science team, including navigating shared codebases, participating in code reviews, and building on others’ work without disrupting existing functionality
• Experience working with business stakeholders (incl. gathering and translating business requirements into technical solutions, and explaining technical concepts to a non-technical audience)
• Hands-on experience with Generative AI / LLM technologies (e.g. OpenAI APIs, Hugging Face, vector databases, prompt engineering) is a strong plus
• Excellent verbal and writing skills in English to allow effective communication with team members and stakeholders in meetings, presentations and documents  

   

If this appeals to you but you are in doubt about how exactly your skills match our requirements - we value personality, ambition and an open mind. Don’t hesitate to get in touch and present your personal strengths to us. We look forward to hearing from you!