Data Scientist Specialist
hace 2 meses
**ESPECIALISTA DATA SCIENTIST**
**MISIÓN**: Identificar, desarrollar y supervisar la implementación de soluciones tecnologicas de eficiencia para negocios y operaciones alineado con las prioridades estrategicas de la organización usando de metodologías de desarrollo de software, gestión de datos, estadisticos y matematicos, con el objetivo de generar procesos y operaciones mas seguras, ágiles, confiables, rentables y que cumplan con la normatividad interna o externa requerida.
**Requisitos**:
- **Licenciatura: Ing. Computación, Ing. Sistemas, Ing. Inteligencia Artificial, Lic. Actuaria, Ing. Electrónica.**:
- **Inglés: Avanzado**:
- **Enfoque en resultados**:
- **Iniciativa**
- **Experiência en por lo menos un áreas dentro de Supply Chain (Logística, Servicios a Clientes, Transportes, Compras, DSP, Contraloría, Desarrollo Supply.)**:
- **Experiência como desarrollador de soluciones digitales que incluyan programación en Python y/o R (modelos de ML, API´s y/o gestión de datos).**
**RESPONSABILIDADES**:
- Identificar áreas de oportunidad entendiendo las necesidades de las unidades de negocio y la operación, la evolución de indicadores de la Cadena de Valor y la estrategia de mediano y largo plazo de Supply Chain (OMP) por medio de herramientas de gestión de datos y de inteligencia artificial de contribución a fin de diseñar soluciones que cubran dichas necesidades.
- Definición y diseño de los requisitos de la arquitectura de sistemas digitales, documentación de requisitos y de funcionamiento tecnico de las soluciones, evaluación de opciones de tecnologia a integrar en las soluciones según costo y funcionalidad.
- Supervisar el benchmark sobre los nuevos modelos de operación con tecnología, innovaciones tecnológicas, mejores prácticas a través de participar en foros, cursos o cualquier otro medio para tener la posibilidad de generar iniciativas que contemplen las tendencias del mercado.
- Dirigir y supervisar el desarrollo de soluciones digitales asi como la integración de los diferentes equipos involucrados en cada proyecto (IT ADI, IT Plog, DSP, Customer service, Logistica, etc)
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