3 data science jobs found

Nos encontramos en la búsqueda de un/a Responsable de Datos e Insights de Fútbol para consolidar, estructurar y escalar la función de Datos e Insights del club. El rol será clave para fortalecer los sistemas, procesos y estándares que permitan que los datos sean parte práctica de la toma de decisiones futbolísticas. Trabajando en estrecha colaboración con el Consultor de Estrategia de Performance e Innovación, la persona se enfocará inicialmente en el Fútbol Profesional y con el tiempo extenderá los procesos al resto del club, incluyendo el Fútbol Formativo. Serán sus principales funciones y responsabilidades: Consolidar y escalar la función de Datos e Insights, definiendo el modelo operativo, flujos de trabajo, estándares y estructuras de reporting y construyendo y liderando progresivamente un equipo interno de analítica de fútbol. Liderar la estrategia, desarrollo y prestación diaria de servicios de datos e insights asegurando impacto directo en la toma de decisiones...

Job description Who We Are Founded in 1882, Tottenham Hotspur is an iconic English football club, playing in the Premier League and Women’s Super League. From North London to the world, our fanbase spans continents, cultures, and generations. Spurs is a club that’s always dared to push boundaries, breaking new ground and rewriting history. We offer world-class facilities: In 2019, we opened our state-of-the-art Stadium, a £1 billion landmark that’s the beating heart of North Tottenham’s transformation. More than just a football ground, it’s an engine of change — creating 4,000 jobs and injecting £300 million into the local economy every year. We’re at our brightest when we’re all together. Our Club, our teams, our community.  There is only one Hotspur. Tottenham Hotspur. Role Purpose As a Full-Stack Engineer, you will play a key role in building the internal applications that...

Overview Major League Soccer is building advanced AI and data platforms to power fan intelligence, personalization, and data-driven decisioning across the organization.   The Principal AI/ML Engineer, Semantic Data will design and build the semantic intelligence layer that enables consistent understanding of fan data, business concepts, and operational workflows across MLS systems.   This role combines semantic data systems with applied LLM engineering to build grounded, production-grade AI capabilities.   This is a systems engineering role responsible for building and scaling real-world AI infrastructure, including knowledge graphs, retrieval systems, and LLM-powered applications.   Responsibilities AI & Knowledge Systems Development Design and implement embedding pipelines across fan data, content, metadata, and behavioral signals Build metadata and enrichment systems that normalize and structure enterprise data for...