Senior Data Scientist; d​/f​/m

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.

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.

• 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 No
  
  SQL databases.
• Strong background in machine learning frameworks (e.g., Tensor Flow, 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.