mobile.de is Germany’s largest vehicle marketplace, with more than 1.6 million listed cars, commercial vehicles, motorcycles, and e-bikes. Both private customers and registered vehicle dealers use the platform and benefit from more than 120 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.

mobile.de is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

What we offer

Meaningful Work: We are a diverse, international, highly skilled and passionate team committed to a world where people share more and waste less. Every day you will have the opportunity to make a huge difference for our users, customers as well as shape the future.

Embracing AI: We're at the forefront of integrating cutting-edge AI technologies into our operations. Being part of mobile.de you will work with and learn about AI tools, contributing to projects that leverage AI to enhance efficiency, improve customer experiences, and drive our mission forward. With an AI-first mindset, we foster a culture of continuous learning and experimentation, empowering our team to explore and apply AI in meaningful ways for the company and themselves.

Growth and Development: We are a global organisation who truly believes in growing our people. To support this we offer lots of development and training opportunities and provide a budget for our team members.

Connection and Inclusion: Our culture is the glue that holds us together. We believe in making meaningful connections and creating an inclusive atmosphere with lots of opportunities to connect both in your day to day work and through social team activities (online and offline)

What you’ll do ​& Who you are

We are seeking a passionate Senior 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 that enhance user experiences and drive value across our platforms, with a particular focus on search and ranking tools. We offer a flexible working environment with in-person presence expected once/twice a week, or as required for key product appointments.

About the Role

As a Senior Data Scientist, you will:

• Lead impactful projects that apply data science and advanced ML models to complex business problems, especially around search, ranking, recommendation, and personalization.

• 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.

• Mentor and support junior 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.

What You Bring

• Relevant MSc or Ph.D. in statistics, computer science, economics, or a related field.

• 3+ years of hands-on experience in designing, training, and deploying machine learning models, ideally within marketplaces or technology-driven environments.

• Advanced programming skills in Python (preferred), R, and proficiency working with SQL and/or NoSQL databases.

• Strong background in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience with MLOps best practices.

• Proven track record with cloud platforms, especially GCP or AWS, including deploying and managing ML solutions in production environments.

• Experience guiding cross-functional team efforts and managing a variety of stakeholders.

• Confidence in translating complex business needs into data-driven strategies and communicating findings to technical and non-technical audiences.

• Enthusiasm for agile software development (Kanban/Scrum), product discovery, and iterative, continuous deployment.

• Excellent English language communication skills, both written and verbal.

• Passion for innovation, continuous learning, and making a real impact on how millions interact with our platform.

Benefits

Working at mobile.de comes with its perks! Enjoy the following benefits (some of many):

• Rewards: competitive base salary and participation in the company’s incentive programs.

• Plan for the Future: On top of the statutory retirement insurance, we offer a competitive company pension scheme.

• Team-Building: Regular team and company events offer the opportunity to network and learn from each other.

• Learning & Development: Keep growing with access to coaching, learning platforms and resources.

• Mobility: Stay mobile with a monthly transportation allowance.

• Enjoy working: Our well‑equipped office supports focused work and teamwork - plus inviting social zones where colleagues can relax and connect

• Flexible working: a hybrid approach with the option to work abroad for a set number of days per year.

• Wellbeing: confidential employee assistance and support services available to employees and their immediate families.

• Family support: enhanced parental leave and family‑friendly policies to support all parents and careers.