A modern line of credit for the financially underserved in Latin America.
Data Scientist, L2
Location
Guatemala
Posted
1 day ago
Salary
0
Seniority
Mid Level
Job Description
Data Scientist, L2
Vana
• Análisis y modelado de datos: Aprovechar tus habilidades analíticas para identificar patrones, tendencias e información valiosa (insights) a partir de grandes conjuntos de datos. • Desarrollo y validación de modelos: Utilizar técnicas estándar de la industria para crear variables (features), limpiar conjuntos de datos y desarrollar pipelines para entrenar e implementar nuestros modelos, enfocados principalmente en modelos de clasificación. • Evaluación del riesgo crediticio: Evaluar el riesgo crediticio de posibles prestatarios utilizando los modelos desarrollados, asignando de manera efectiva puntajes de crédito (credit scores) o probabilidades de incumplimiento (Probability of Default - PD). Buscamos personas que piensen de manera innovadora; con frecuencia utilizamos datos alternativos para construir nuestros modelos, por lo que valoramos tanto las mejores prácticas de la industria como soluciones creativas. • Ingeniería de características (Feature Engineering): Identificar y crear variables relevantes que mejoren el poder predictivo de los modelos y representen adecuadamente la solvencia o capacidad crediticia de los individuos. • Colaboración interdisciplinaria: Trabajar en conjunto con otros equipos para proporcionar análisis, desarrollar modelos y participar en la toma de decisiones técnicas. • Monitoreo y evaluación del desempeño: Supervisar continuamente el rendimiento de los modelos implementados, evaluar sus métricas y realizar los ajustes necesarios para adaptarlos a cambios en el comportamiento de los usuarios, las condiciones del mercado o la normativa aplicable. • Investigación e innovación: Mantenerse actualizado sobre los últimos avances en ciencia de datos y aprendizaje automático (Machine Learning), además de experimentar con nuevos enfoques para la evaluación del riesgo crediticio.
Job Requirements
- Formación en Ciencia de Datos, Estadística, Ciencias de la Computación o una carrera relacionada, con conocimientos en programación. [INDISPENSABLE]
- Experiencia o conocimientos en Data Engineering. [DESEABLE]
- Conocimiento de servicios de AWS (Amazon Web Services). [DESEABLE]
- Entre 1 y 2 años de experiencia en Ciencia de Datos o Analítica de Datos/Negocio (con conocimientos en Machine Learning). [INDISPENSABLE]
- Entre 1 y 2 años de experiencia aplicando Machine Learning al análisis de riesgo financiero. [DESEABLE]
- 2 años o más de experiencia utilizando Python y SQL. [INDISPENSABLE]
- Buscamos una persona con pensamiento analítico y creativo, apasionada por explorar datos, extraer información de valor y convertirla en decisiones accionables para el negocio. [INDISPENSABLE]
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