Das ist der Job
Develop an algorithmic intent layer translating real‑time browsing signals into actionable customer intents.
Darum lohnt es sich
Work with platform and experience teams to ensure ML models integrate seamlessly without degrading Core Web Vitals or caching efficiency. </ Overview
Location: Spain
Experience: 8+ Years building and deploying machine learning models and LLMs into high-scale customer experiences
Stack: Python, PyTorch/TensorFlow, SQL, Databricks, Snowflake.
Responsibilities Drive the generative and context-aware evolution of the platform, partnering with another Principal Data Scientist to co‑lead research agenda. Lead the evolution of recommendation systems into the Generative AI era, researching generative recommendation paradigms.
Architect ML pathways to expose core recommendation actions as tools for AI agents. Build advanced propensity models and leverage foundational customer traits to drive customer segmentation and personas. Ensure segmentations are actionable and aligned with company strategy.
Build multi‑layered hybrid machine learning models for bot detection, classify ambiguous sessions, and protect analytics and personalization integrity. Partner closely with the other Principal Data Scientist to accelerate research initiatives. Act as primary AI ambassador influencing product, engineering, and business leadership.
