Data Scientist Generativo
hace 3 semanas
Hybrid Intelligence es el equipo internacional de expertos de datos e inteligencia Artificial de Capgemini Engineering. Nuestro trabajo es una fusión de matemáticas aplicadas, computación científica, inteligencia artificial e ingeniería de software.
¿Qué buscamos?- PhD, graduados en matemáticas, físicas, ingenierías, informática o campo relacionado.
- Experiencia previa de al menos 3 años como Data Scientist.
- Excelentes habilidades de programación (imprescindibles) R, Python (pandas, numpy, matplotlib, scikit-learn), experiencia en programación orientada a objetos y pySpark.
- Experiencia llevando a cabo proyectos que involucren algoritmos de Machine Learning, idealmente en un entorno cloud con computación distribuida.
- Sólidos fundamentos en estadística y teoría de la probabilidad para pruebas de hipótesis, análisis de regresión y diseño experimental.
- Destreza en el manejo de datos, incluyendo limpieza, preprocesamiento y transformación de datos brutos en formatos utilizables para análisis y modelado.
- Se valorará la experiencia desarrollando modelos matemáticos y algoritmos predictivos (optimización, modelos supervisados y no supervisados, clustering, redes neuronales...), Deep Learning, MLOPs.
- Valorable conocimientos en natural language processing (NLP) y Large Language Models (LLMs).
- Dominio del inglés y el español (C1) y gran capacidad de comunicación.
- Contrato indefinido.
- Plan de carrera Capgemini University y Mylearning con multitud de formaciones, además de acceso a la plataforma Udemy, Coursera, Pluralsight, Harvard Manager Mentor, entre otros.
- Programa de certificaciones.
- Formación en idiomas de inglés, francés y alemán con Education First (EF).
- Participación en la Comunidad Internacional de DATA & AI.
- Seguro de Vida y Accidentes.
- Ticket restaurante o subvención de comida.
- Plan de Compensación Flexible (seguro médico, guardería, transporte, formación).
Somos TOP EMPLOYERS y líderes mundiales en Ingeniería. Trabajamos en proyectos relevantes en innovación e I+D. Estamos comprometidos con la igualdad de oportunidades.
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