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Data Scientist
hace 35 minutos
Excited to grow your career?
BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.
About the job:
En BBVA Argentina estamos incorporando a nuestro equipo de Analítica Avanzada un/a Data Scientist para desarrollar modelos de Machine Learning con impacto real y sostenible en el negocio.
El desafío del rol está en diseñar e implementar modelos en producción, asegurando su correcta operación, escalabilidad y evolución en el tiempo.
Formarás parte de una comunidad global de científicos/as de datos de BBVA, colaborando con equipos de Business Intelligence, Data Architect y áreas de negocio, en proyectos desafiantes y de alto impacto.
Principales responsabilidades:
Diseñar, desarrollar e implementar modelos de Machine Learning en entornos productivos.
Automatizar procesos analíticos con foco en calidad, mantenimiento y escalabilidad.
Monitorear performance, estabilidad y evolución de los modelos.
Aplicación de buenas prácticas de desarrollo, versionado y documentación.
Trabajar con grandes volúmenes de datos provenientes de múltiples fuentes.
Investigar y evaluar nuevas técnicas o enfoques con criterio técnico.
Implementación de esquemas de testing y experimentación (A/B Testing).
Trabajo colaborativo con equipos técnicos y de negocio.
Participación activa en la comunidad de datos, compartiendo buenas prácticas.
Qué esperamos de vos:
Formación en carreras afines (Ingeniería, Sistemas, Ciencia de Datos, Exactas, Estadística, Economía, Actuario o similares).
Experiencia sólida en proyectos de Data Science / Machine Learning productivos.
Experiencia práctica trabajando con Python y SQL en contextos de modelización y análisis de datos.
Capacidad para estructurar código, automatizar procesos y documentar soluciones.
Sólidos conocimientos en estadística y Machine Learning.
Experiencia trabajando en entornos cloud (AWS) y en herramientas de procesamiento distribuido como Spark.
Experiencia en la aplicación de casos de uso basados en modelos de lenguaje e Inteligencia Artificial Generativa
Modalidad: Híbrida
¿Por qué sumarte?
Trabajar en modelos aplicados a problemáticas diversas, con impacto concreto en el negocio.
Desafíos técnicos complejos, y entorno colaborativo y desafiante.
Interacción con equipos globales.
Espacio para proponer, construir y mejorar soluciones de punta a punta.
Skills:
Banking