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# Data Science Director, Ai (Askgartner)

- **Company:** Gartner
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Cloud Computing, Linux, Python (Programming Language), MongoDB, Natural Language Processing, NLTK (NLP Analysis), NoSQL, Oracle (Applications), Recommender Systems, Tensorflow, Azure Machine Learning, SQL Databases, Chatbots, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Scikit Learn, Low Latency, HuggingFace, Machine Learning Operations, Virtual Agents
- **Published:** August 6, 2026
- **Apply:** https://www.buscojobs.com.es/data-science-director-ai-askgartner-en-barcelona-ID-365354168

## About the Role

* 8-12 years in data science, ML, or AI with at least 3 years of people management
 * Master's Degree or PhD in a quantitative field
 * Proven leadership in personalization, recommendations, search/ranking, conversational AI, and GenAI with transformers/LLMs
 * Experience translating business priorities into technical roadmaps and delivering production ML systems
 * Strong communication skills to influence executives and articulate value
 * Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation, and production recommender/GenAI systems
 * Proficiency with Python and ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain); SQL/Oracle; NoSQL/MongoDB; vector DBs (Pinecone, Weaviate); Spark; Linux; cloud platforms (AWS SageMaker, Azure ML)
 * Experience with LLMs, conversational AI, NLP, search/recommendation systems, prompt engineering/LLM optimization, AI agent architectures
 * Collaborative leadership with bias for action and client outcomes

## Description

Experteer Overview In this senior leadership role, you'll steer the data science roadmap for the Client Experience Digital Platform, shaping hyper-personalized user experiences.You will guide cross-functional collaboration to deliver AI-powered features like personalization, recommendations, and GenAI chatbots at scale.Your work will influence product strategy and enterprise AI integration, driving measurable business impact.This is a mission-driven opportunity to lead and mentor a high-performing team at a leading AI-focused advisory company.Compensaciones / Beneficios* Lead the data science roadmap for personalization, recommendation systems, and GenAI chatbot development* Architect AI-powered chatbot systems and enterprise AI agent integration with MCP servers* Apply transformer-based models and LLMs to improve relevance, search, personalization, and scalable GenAI solutions* Model client priorities and engagement signals using internal and external data to drive targeted support* Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, and deliver business value* Lead a team of data scientists, improving accuracy, latency, scalability, and MLOps practices* Translate quantitative analysis into actionable, high-impact strategies and present roadmaps to senior leadership* Stay current with AI/ML advancements (LLMs, conversational AI, transformer architectures) and apply them to the platformResponsabilidades* 8-12 years in data science, ML, or AI with at least 3 years of people management* Master's Degree or PhD in a quantitative field* Proven leadership in personalization, recommendations, search/ranking, conversational AI, and GenAI with transformers/LLMs* Experience translating business priorities into technical roadmaps and delivering production ML systems* Strong communication skills to influence executives and articulate value* Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation, and production recommender/GenAI systems* Proficiency with Python and ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain); SQL/Oracle; NoSQL/MongoDB; vector DBs (Pinecone, Weaviate); Spark; Linux; cloud platforms (AWS SageMaker, Azure ML)* Experience with LLMs, conversational AI, NLP, search/recommendation systems, prompt engineering/LLM optimization, AI agent architectures* Collaborative leadership with bias for action and client outcomesRequisitos principales* Competitive compensation* 25 days annual holiday + birthday off* Private medical and dental care* Pension scheme* Hybrid work environment* Relocation assistance


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