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Data Scientist
hace 4 semanas
Descripción del Cargo:
Somos una empresa innovadora en busca de unData Scientist apasionado por el aprendizaje automático y el business intelligence. Este profesional será responsable de desarrollar e implementar soluciones de machine learning que generen valor para el negocio. Con una sólida comprensión en machine y deep learning, el candidato ideal deberá tener experiencia en gestión de proyectos y capacidad para liderar equipos.
- Desarrollo de Modelos Predictivos: Crear modelos predictivos y descriptivos de machine y deep learning modulables y escalables para interpretar datos y generar valor empresarial.
- Implementación de Soluciones de Aprendizaje Automático: Desarrollar e implementar soluciones de aprendizaje automático que resuelvan problemas empresariales.
- Liderazgo y Supervisión: Supervisar el trabajo de Quality Analysts, Data Labelers y otros miembros del equipo de analítica para asegurar el óptimo desarrollo de proyectos.
- Colaboración Interdepartamental: Representar al equipo ante otras áreas de la empresa, trabajando en conjunto para identificar oportunidades y necesidades de aplicación de IA.
- Análisis y Soluciones Empresariales: Analizar datos y problemas empresariales, traduciéndolos en soluciones factibles mediante metodologías de machine learning y deep learning.
- Diseño e Implementación de Modelos: Diseñar, desarrollar, implementar, mantener y mejorar modelos de aprendizaje automático y herramientas de business intelligence.
- Gestión de Proyectos: Gestionar, controlar, presupuestar y reportar los costos asociados a las herramientas utilizadas en proyectos.
- Optimización de Procesos: Diseñar, implementar y mejorar procesos operativos para optimizar recursos y resultados.
- Documentación: Documentar los procesos desarrollados.
- Experiencia Laboral: 2 años en analítica o ciencia de datos.
- Jornada Laboral: Tiempo completo.
- Ubicación: Medellín.
- Salario: 5.500.000 COP + variable de 550.000 COP.
Nivel de Estudios: Profesional
Carrera: Profesiones Ingenierías, gerencias de información, estadística, matemáticas
Conocimientos adicionales:
- Lenguajes de Programación SQL, R, Python, Paquete Office Excel, Power BI, Tensorflow, Pytorch, Hugging Face, Cloud GCS
Modalidad de Trabajo: Híbrida, con horario de oficina de lunes a viernes. Contrato indefinido.
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