Data Scientist
hace 3 meses
Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do?
Grupo Modelo es líder en la elaboración, distribución y venta de cerveza en México
Nos enorgullece ser una empresa que ha traspasado fronteras con sus productos. Todo esto gracias a las 30,969 personas que colaboran en esta gran compañía.
Hoy forma parte de AB-InBev, la compañía cervecera más grande del mundo.
Te invitamos a participar en la vacante de:
Data Scientist
**Requisitos**:
- Codificación competente en Python, databricks y Spark (al menos 2 años de programación profesional)- Competente en consultas SQL.- Gran conocimiento y experiência laboral en modelado de datos y técnicas de aprendizaje automático (por ejemplo, técnicas de regresión, clasificación, pronóstico y atribución).- Nível de usuario básico de Linux (comandos básicos, sistema de archivos, administradores de paquetes)- Git para bases de código de un solo colaborador- Conceptos básicos del diseño de software (mejores prácticas de desarrollo)- Marcos o bibliotecas de aprendizaje automático y estadística (PyTorch, Sklearn, Tidymodels, Caret, etc.)- Experiência con bibliotecas de manipulación de datos (Pandas, Dplyr, Tidyverse)- Experiência en manejo de cloud services GCP (preferred) o Azure.
Lugar de trabajo
Miguel Hidalgo, Ciudad de México.
Horario
Lunes a viernes
Propósito y actividades del puesto:
- Crear modelos de aprendizaje automático en todas las fases de desarrollo, desde el diseño hasta la capacitación, la evaluación, la validación y la implementación en producción.- Colaborar con científicos e ingenieros de datos para ayudar a informar, construir y probar modelos.- Aplicar la comprensión de las prácticas avanzadas de aprendizaje automático para mejorar el rendimiento del producto.- Colaborar con un equipo multifuncional de científicos de datos, ingenieros de software y - gerentes de productos para entregar productos.- Facilitar la toma de decisiones y la priorización informadas y basadas en datos.- Tener una buena comprensión de las tendencias y el contexto general del negocio.
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