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Senior Data Scientist

hace 2 meses


Paterna, Valencia, España Nunsys A tiempo completo
Descripción del Puesto

Nunsys busca un/a Senior Data Scientist para unirse a nuestro equipo de expertos en Inteligencia Artificial. En este rol, liderarás el diseño, desarrollo e implementación de algoritmos y modelos de aprendizaje automático avanzados para el proyecto EXPERT-BRAIN.

Funciones del Puesto
  1. Diseño y Desarrollo de Algoritmos: Liderarás el diseño y desarrollo de algoritmos y modelos de aprendizaje automático avanzados para el proyecto EXPERT-BRAIN, asegurando su efectividad y escalabilidad.
  2. Colaboración con Equipo: Colaborarás estrechamente con investigadores de IA, arquitectos de IA, ingenieros y otros profesionales del equipo para garantizar una integración efectiva de los componentes de IA en el producto.
  3. Análisis de Datos: Realizarás análisis de datos exploratorios y avanzados, utilizando técnicas estadísticas y de aprendizaje automático para identificar patrones y relaciones significativas en grandes conjuntos de datos.
  4. Mentoría y Desarrollo de Equipo: Supervisarás y guiarás a los Data Scientists junior en el equipo, proporcionando mentoría y apoyo en el desarrollo de sus habilidades y conocimientos.
  5. Comunicación de Resultados: Comunicarás resultados y hallazgos a partes interesadas técnicas y no técnicas, utilizando visualizaciones de datos y técnicas de narración de datos efectivas.
  6. Mantenimiento de Conocimientos: Mantendrás actualizado en las últimas tendencias y avances en el campo de la inteligencia artificial, aprendizaje automático y ciencia de datos, y aplicarás estos conocimientos en el proyecto EXPERT-BRAIN.
Requisitos del Puesto
  1. Título Académico: Título avanzado en Ciencias de la Computación, Estadística, Matemáticas, Ingeniería, Inteligencia Artificial o campo relacionado.
  2. Experiencia Laboral: Experiencia previa en un rol de Data Scientist, preferiblemente en proyectos de inteligencia artificial, aprendizaje automático o procesamiento del lenguaje natural.
  3. Habilidades Técnicas: Sólidas habilidades de programación en Python, R u otro lenguaje relevante, y experiencia con bibliotecas y herramientas de aprendizaje automático y análisis de datos, como TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, etc.
  4. Conocimientos y Habilidades: Profundo conocimiento de los conceptos de aprendizaje automático, estadísticas y análisis de datos, y excelentes habilidades de comunicación, tanto oral como escrita, en (idioma/s).
  5. Liderazgo y Trabajo en Equipo: Capacidad para liderar y trabajar en equipo, adaptándose a un entorno dinámico y colaborativo.