Data Scientist

About mobile.de

mobile.de is Germany's premier vehicle marketplace, hosting over 1.6 million listings of cars, commercial vehicles, motorcycles, and e-bikes as of the average in 2025. Serving both private customers and registered dealers, their platform attracts more than 140 million visits monthly. Beyond buying and selling, mobile.de provides financial and leasing services, operating as a comprehensive one-stop shop. The company, established in 1996, is part of Adevinta, a leading global online classifieds entity.

Located in Berlin-Charlottenburg, mobile.de fosters a vibrant and collaborative work atmosphere centered on growth and learning. If you are motivated by innovation, enjoy team collaboration, and wish to influence the future landscape of mobility, this role offers a compelling opportunity.

Role Overview

We are on the lookout for an enthusiastic Data Scientist (d/f/m) to join our central Data Science team in Berlin. This team aims to provide scalable data insights and machine learning solutions that enhance user experience and add value across mobile.de’s platforms, with a particular focus on search, ranking, recommendation systems, and personalization. The role offers flexible working arrangements requiring in-office presence approximately once or twice weekly or as needed for critical product meetings.

Key Responsibilities

• Lead impactful initiatives applying advanced data science and machine learning models to multifaceted business challenges, particularly in search, ranking, recommendation, and personalization domains.
• Investigate and incorporate Generative AI advancements into product features, leveraging large language model-based search improvements, conversational interfaces, retrieval-augmented generation pipelines, and AI-generated content, critically assessing their influence on user experience and platform value.
• Manage end-to-end data science projects from concept and prototyping to deployment, monitoring, and iterative enhancement ensuring scalability and efficiency.
• Analyze extensive and complex datasets to extract actionable insights that propel business strategy and enhance user-centered solutions.
• Develop and validate proof-of-concept models for innovative functionalities, effectively communicating outcomes and value to a diverse set of stakeholders.
• Serve as a liaison among technical and non-technical teams, clearly conveying methodologies, results, and insights.
• Collaborate closely with product managers, UX designers, engineers, and fellow data scientists to synchronize objectives related to search and platform development, fostering cross-functional product improvement.
• Promote best practices and continuous learning within the data science team through active teamwork.
• Stay abreast of the newest data science tools, frameworks, and techniques, integrating these advances to continually elevate team capabilities.

Qualifications

• A relevant MSc or Ph.D. in statistics, computer science, economics, or related disciplines.
• Minimum of two years rigorous experience in building, training, and deploying machine learning models, preferably in marketplaces or technology-centric companies.
• Practical expertise with Generative AI technologies, including large language models (e.g., OpenAI, Gemini, Mistral, LLaMA), vector databases such as Pinecone, Weaviate, BigQuery Vector Search, and retrieval-augmented generation architectures.
• Advanced proficiency in Python programming and solid experience with SQL and/or NoSQL databases.
• Strong command of machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn, coupled with knowledge of MLOps for production deployment.
• Experience working with cloud platforms—especially Google Cloud Platform or AWS—including deployment and management of ML models in live environments.
• Ability to translate complex business requirements into data-driven strategies and communicate them effectively to technical and non-technical listeners alike.
• Commitment to agile methodologies (Kanban/Scrum), product discovery, and iterative, continuous deployment cycles.
• Fluent English communication skills, both written and spoken.
• A strong drive for innovation, ongoing learning, and making a tangible difference in how millions engage with the platform.

Benefits and Perks

• Competitive base salary accompanied by participation in company incentive programs.
• Comprehensive retirement planning including statutory insurance and an attractive company pension plan.
• Regular team and company events that foster networking and mutual learning.
• Access to coaching, educational platforms, and resources to support continuous professional growth.
• Mobility support through a monthly transportation allowance.
• A well-equipped office environment conducive to both focused individual work and social interaction.
• Flexible hybrid working arrangement with opportunities to work abroad for selected days annually.
• Confidential employee assistance and support services extended to staff and their immediate families.
• Family-friendly policies including enhanced parental leave and support for caregivers.

Culture and Additional Information

Embracing an AI-forward approach, mobile.de is dedicated to integrating advanced AI technologies to improve business processes, customer experiences, and overall mission progression. The company fosters a culture of continuous experimentation and learning, empowering employees to leverage AI meaningfully.

As a global employer, mobile.de is committed to employee growth with ample development and training opportunities supported by dedicated budgets.

Inclusion and diversity form the foundation of the company culture, ensuring an environment where individuals of all backgrounds feel connected and valued. The company strictly practices equal opportunity employment and prohibits any discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability.