Lead Data Scientist

hace 2 semanas

Miguel Hidalgo, Ciudad de México Creze A tiempo completo
del trabajo:

En Creze buscamos un Data Scientist Lead con amplia experiencia en Python, Spark, AWS, DBT y Airflow para liderar nuestro equipo de ciencia de datos. El candidato ideal será responsable de diseñar, implementar y optimizar soluciones de datos a gran escala, garantizando la entrega eficiente y precisa de datos para impulsar decisiones estratégicas.

Responsabilidades:
  • Liderar y gestionar proyectos de ciencia de datos, asegurando la entrega de soluciones de alta calidad.
  • Diseñar, desarrollar y mantener pipelines de datos utilizando Python, Spark, DBT y Airflow.
  • Implementar y optimizar soluciones en la nube utilizando la pila de AWS (EC2, S3, Lambda, RDS, etc.).
  • Colaborar con equipos de ingeniería y producto para traducir requisitos empresariales en soluciones técnicas.
  • Desarrollar modelos predictivos y de machine learning, asegurando su integración y despliegue en producción.
  • Gestionar y mentorizar a un equipo de científicos de datos, promoviendo las mejores prácticas y el desarrollo profesional.
  • Monitorear y mejorar continuamente los pipelines de datos y los modelos para asegurar su eficiencia y rendimiento.
  • Documentar y comunicar los procesos y resultados de los proyectos a stakeholders no técnicos.
Requisitos:
  • Experiencia comprobada como Data Scientist Lead, Data Engineering o en un rol similar, con un enfoque en Python y Spark.
  • Profundo conocimiento de la infraestructura y los servicios de AWS (especialmente EC2, S3, Lambda, RDS).
  • Experiencia práctica con herramientas de orquestación y transformación de datos como Airflow y DBT.
  • Habilidad para diseñar y construir pipelines de datos eficientes y escalables.
  • Conocimiento sólido en bases de datos relacionales y no relacionales.
  • Fuertes habilidades de liderazgo y capacidad para trabajar en un entorno colaborativo.
  • Excelentes habilidades de comunicación y capacidad para explicar conceptos técnicos a una audiencia no técnica.
  • Título en Ciencias de la Computación, Ingeniería de Datos, Estadística o un campo relacionado.

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