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data scientist control associate i

hace 2 semanas

Retiro, Buenos Aires C.F., Argentina BBVA A tiempo completo

Excited to grow your career?

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

About the job:

Buscamos un perfil híbrido con fuerte capacidad técnica y de negocio. El candidato será responsable del ciclo de vida completo del dato: desde la extracción y modelado en la nube (AWS), la automatización de pipelines, hasta la visualización efectiva para la toma de decisiones. A mediano plazo, contribuirá en la evolución hacia modelos predictivos y de Machine Learning.

Responsabilidades Principales (El "Qué harás")

  • Ingeniería y Modelado de Datos (AWS): Diseñar y construir modelos de datos eficientes utilizando AWS Athena y SQL avanzado.
  • Desarrollo de Pipelines (ETL/ELT): Crear flujos de trabajo automatizados y escalables utilizando SageMaker y scripts en PySpark para asegurar la actualización constante de la información.
  • Visualización y BI: Traducir datos complejos en tableros de control intuitivos y de alto impacto utilizando MicroStrategy y AWS QuickSight .
  • Interacción con el Negocio: Actuar como puente entre los equipos de desarrollo y los stakeholders de negocio, traduciendo requerimientos en soluciones técnicas.
  • Evolución hacia ML: Sentar las bases para la futura implementación de modelos de Machine Learning e IA, identificando oportunidades donde estas tecnologías aporten valor real.

Requisitos:

1. Experiencia Técnica y Cloud:

  • Experiencia demostrable trabajando con el ecosistema AWS (específicamente Athena, S3, Glue o SageMaker para procesamiento).
  • Dominio avanzado de SQL para consultas complejas y optimización.
  • Experiencia sólida programando en Python y PySpark para manipulación de grandes volúmenes de datos.
  • Capacidad para orquestar y automatizar pipelines de datos.

2. Visualización y Storytelling:

  • Experiencia probada diseñando visualizaciones en herramientas de BI corporativo, preferentemente MicroStrategy o AWS QuickSight .
  • Capacidad para "contar una historia" con los datos, no solo mostrar números.

3. Habilidades Blandas y Comunicación:

  • Excelentes habilidades de comunicación verbal y escrita. Debe poder explicar la lógica de un pipeline o un insight de negocio tanto a un Desarrollador como a un Gerente Comercial.
  • Experiencia trabajando en metodologías ágiles.

Requisitos Deseables:

  • Conocimiento teórico o práctico en técnicas de modelado predictivo (regresión, series de tiempo, clustering).
  • Interés genuino en profundizar en Machine Learning e Inteligencia Artificial a medida que madure la infraestructura de datos.
  • Experiencia en el sector financiero.

Perfil del Candidato:

No buscamos solo un académico, sino un "Builder" (Constructor) . Alguien que disfrute tanto generar el código PySpark y arquitectura en la nube, como presentando hallazgos estratégicos en una reunión de directorio.

Skills:

Banking