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    Data Scientist Lead - Xico, México - Empresa: Creze

    Empresa: Creze
    Empresa: Creze Xico, México

    hace 1 semana

    Default job background
    Descripción

    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.

    Cómo aplicar:
    Si cumples con los requisitos y estás interesado en formar parte de nuestro equipo, envía tu CV y carta de presentación

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