Data Scientist (d/f/m)

Description

mobile.de is Germany’s largest vehicle marketplace, with more than 1.6 million listed cars, commercial vehicles, motorcycles, and e-bikes (annual average 2025). Both private customers and registered vehicle dealers use the platform and benefit from more than 140 million visits per month*. As a “one-stop shop,” mobile.de’s offering includes not only buying and selling, but also financing and leasing solutions. Founded in 1996, the company is a subsidiary of Adevinta, a global leader in online classified portals.

Based in Berlin-Charlottenburg, we offer a dynamic environment where growth, learning, and collaboration are at the heart of everything we do.If you are driven by an eagerness to disrupt, have a passion for collaboration, and are excited about shaping the future of mobility, we would love to hear from you.

About the Role

We are seeking a passionate Data Scientist (d/f/m) to join our central Data Science team based in Berlin! Our team’s mission is to deliver data-driven insights and machine learning (ML) solutions at scale that enhance user experiences and drive value across our platforms, with a particular focus on search, ranking, recommenders and personalization. We offer a flexible working environment with in-person presence expected once/twice a week, or as required for key product appointments.

Requirements

As a Data Scientist (d/f/m), you will:

• Drive impactful projects that apply data science and advanced ML models to complex business problems, especially around search, ranking, recommendation, and personalization.
• Explore and integrate Generative AI solutions into product features, including LLM-based search enhancements, conversational interfaces, retrieval-augmented generation (RAG) pipelines, and AI-generated content - evaluating their impact on user experience and platform value.
• Own end-to-end data science initiatives: from ideation and prototyping, to production deployment, performance monitoring, and refining for scalability and efficiency.
• Analyze large and complex datasets to uncover actionable insights that inform business strategies and drive user-centric solutions.
• Build and validate proof-of-concepts for innovative features, clearly presenting results and value to diverse stakeholders.
• Act as a bridge between technical and non-technical teams, communicating insights, methodologies, and outcomes effectively.
• Collaborate closely with product managers, UX designers, engineers, and other data scientists to align on search and platform goals and drive cross-functional product development.
• Work closely with data scientists, promoting best practices and continuous team growth.
• Stay current with the latest advancements in data science, integrating new tools, frameworks, or techniques to push the team’s capabilities forward.