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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Scientist, Generative Recommendations & Ai- Spain Remote - **Company:** Vistaprint - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Big Data, Botnet, Database Queries, Python (Programming Language), Machine Learning, Tensorflow, Web Usability, Reinforcement Learning, Pytorch, Large Language Models, Snowflake, Deep Learning, Generative AI, Backend, Information Technology, Enterprise Integration, Machine Learning Operations, Front End Software Development, Data Pipelines, Databricks - **Published:** August 9, 2026 - **Apply:** https://www.buscojobs.com.es/principal-data-scientist-generative-recommendations-ai-spain-remote-en-barcelona-ID-366257267 ## About the Role maturityResponsabilidades - Advanced degree (Ph.D. or Master) in Computer Science, Applied Mathematics, Statistics, or closely related field - 8+ years of experience building and deploying ML models at high scale - Deep expertise in Deep Learning, LLMs, and Reinforcement Learning - Proven track record in propensity modeling, customer segmentation, and bot/anomaly detection on large-scale data - Expert Python, PyTorch/TensorFlow, and SQL proficiency - Strong understanding of data pipelines (Databricks, Snowflake) and frontend/backend integration - Excellent communication and stakeholder management skills - Experience in Agile and in e-commerce or marketing domainsRequisitos principales - Remote-first company - Inclusive culture - Growth opportunities - Award-winning work environment ## Description Experteer Overview In this role you drive the generative and context-aware evolution of Vista's Customer Relevance Platform.You'll co-lead research with another Principal Data Scientist to advance Generative AI, LLMs, and agentic recommendations that power personalized, context-aware shopping experiences.You will shape models that translate real-time signals into customer intents, and ensure ML integrations scale across backend data pipelines and frontend delivery.This is a hands-on leadership role influencing product and engineering strategy, with impact on user experience and metrics at scale.Compensaciones / Beneficios - Advance generative recommendation paradigms and integrate them into the fmX architecture - Design an algorithmic intent layer translating real-time signals into actionable intents for recommendations - Architect ML pathways to expose core actions as tools for AI agents enabling conversational shopping - Develop robust propensity models and segmentation frameworks aligned with company strategy - Address bot traffic with multi-layer ML models using historical data to protect analytics and personalization - Lead and evangelize ML / AI initiatives across product, engineering, and business leadership - Collaborate with platform and experience teams to ensure efficient ML integration without impacting Core Web Vitals or caching - Partner with another Principal Data Scientist to accelerate research and elevate team maturityResponsabilidades - Advanced degree (Ph.D. or Master) in Computer Science, Applied Mathematics, Statistics, or closely related field - 8+ years of experience building and deploying ML models at high scale - Deep expertise in Deep Learning, LLMs, and Reinforcement Learning - Proven track record in propensity modeling, customer segmentation, and bot/anomaly detection on large-scale data - Expert Python, PyTorch/TensorFlow, and SQL proficiency - Strong understanding of data pipelines (Databricks, Snowflake) and frontend/backend integration - Excellent communication and stakeholder management skills - Experience in Agile and in e-commerce or marketing domainsRequisitos principales - Remote-first company - Inclusive culture - Growth opportunities - Award-winning work environment ## Related Videos - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Spanish Business Culture and Etiquette](https://www.wearedevelopers.com/magazine/353-spanish-business-culture-and-etiquette) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)