Data Scientist
hace 6 meses
**Descripción**:
Científico de Datos especializado en el desarrollo de soluciones analíticas predictivas y puesta en producción de las mismas. Evaluará la viabilidad, riesgos y buen funcionamiento de la solución.
Necesario tener experiência en el área de prevención de fraudes en el área de riesgos financieros asi como experiência en el sector financiero.
**Experiência**:
Habilidades técnicas:
- Python (Intermedio o Avanzado).
- Sólidas bases en estadística, particularmente en modelos de ML y métricas para evaluar la efectividad del mismo.
- Experiência sólida en desarrollo de software aplicando algoritmos de ML.
- Experiência en operaciones de ML con énfasis en MLOps.
- Experiência en realizar análisis exploratorios y descubrir hallazgos en los datos, así como proponer posibles causas raíz de los mismos.
- Experiência en validar resultados.
- Experiência en presentación de resultados con áreas usuarias.
- Desarrollar y mantener pipelines de ML altamente automatizados para entrenamiento, validación e implementación de modelos a gran escala.
- Experiência con modelos de clusterización
Habilidades blandas:
- Buena comunicación, enfocado a riesgos y resultados.
- Fuerte sentido de la urgencia.
- Organizado.
- Autogestión.
- Resolución de problemas basados en datos.
**Herramientas**:
- Experiência en prevención de riesgosos
- Plataformas de Ciencia de Datos
- Habilidades avanzadas de programación en Python y conocimiento de bibliotecas de ML, como TensorFlow, PyTorch, Scikit-Learn, etc.
- Conocimiento del uso y desarrollo de aplicaciones con LLMs (deseable)
**Sectores y/o empresas donde podemos encontrar este perfil**
- Tecnologías de la Información
- Desarrollo y Programación
- Business Intelligence
- Consultoria
- Estadística
- Investigación científica
**Puestos de referencia en el mercado**:
- Científico de Datos
- Analista de Datos
- Estadístico
- Analista de Estadística
- Advanced Analytics
- Data Analytics (Python)
- Data Scientist
Tipo de puesto: Tiempo completo
Sueldo: $40,000.00 - $50,000.00 al mes
Lugar de trabajo: remoto híbrido en 01278, Ciudad de México, CDMX
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