Formación en Ciencia de Datos/Estadística o similar [INDISPENSABLE]
Experiencia en Data Engineering [DESEABLE]
Conocimiento de AWS (Amazon Web Services) [DESEABLE]
Entre 1 y 2 años de experiencia en Ciencia de Datos/Analítica (ML) [INDISPENSABLE]
Entre 1 y 2 años aplicando ML al análisis de riesgo financiero [DESEABLE]
2 años o más de experiencia usando Python y SQL [INDISPENSABLE]

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