Senior Data Scientist - (Global Search, Consumer)

Requirements

• Master's degree (or Bachelor's with 6+ years of work experience) in Computer Science, Mathematics, Physics, or related quantitative field.
• 4+ years of industry experience as a Data Scientist or Machine Learning Engineer applying ML in high-traffic production environments.
• Deep Learning Ranking & LTR: Hands-on experience with modern deep learning ranking architectures like DCN-V2, MMoE, Two-Tower.
• Agentic & AI-Assisted Development: Proficiency with LLM coding agents and agentic CLI tools in development workflow.
• Technical Depth & MLOps: Expertise in Python, ML ecosystem (PyTorch, TensorFlow), SQL, cloud environments, big-data processing, and MLOps practices.
• Problem-Solving & Ownership: Ability to translate business objectives into well-scoped data science projects.
• Collaborative Spirit: Experience working effectively in cross-functional, globally distributed teams.

What you'll be doing

• Design, build, and productionalize deep neural ranking models.
• Embrace prompt-driven orchestration for ML research.
• Innovate feature engineering and model architectures.
• Maintain rigorous standards for model health in production.
• Collaborate with various disciplines to deliver end-to-end improvements.
• Mentor junior and mid data scientists and drive best practices in experimentation.

Perks and Benefits

• Hybrid working model with face-to-face connection in Berlin campus.
• 27 days holiday with additional days based on service.
• Educational Budget, Language Courses, and access to Udemy Business platform.
• Health Checkups, Meditation & Gym benefits.
• Employee Share Purchase Plan, Sabbatical Bank, and more financial perks.
• Digital Meal Vouchers and Food Vouchers for team building.