Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Diseñar, desarrollar y desplegar soluciones de ciencia de datos que generen impacto medible para el negocio.
- Realizar análisis exploratorios y construir modelos predictivos para identificar tendencias, patrones e insights accionables.
- Ejecutar modelos predictivos orientados a detectar tendencias de compra, riesgo de fuga (churn) y oportunidades de cross-selling.
- Implementar segmentaciones basadas en datos transaccionales y de comportamiento de clientes.
- Apoyar en el diseño y ejecución de tests y experimentos (A/B testing) para validar hipótesis sobre el comportamiento de los usuarios.
- Colaborar con producto, ingeniería y otras áreas para llevar modelos a producción y monitorear su performance.
- Atender las solicitudes de la jefatura relacionadas con su rol de manera oportuna y documentada.
Requirements
- Título universitario en Ingeniería Civil, Matemáticas, Estadística, Ciencias de la Computación o carrera afín.
- Experiencia de 0 a 3 años desarrollando soluciones de ciencia de datos en entornos productivos.
- Dominio de Python y librerías de data (p. ej. Pandas, NumPy, Matplotlib, Seaborn).
- Fuerte experiencia en SQL y manejo de bases de datos relacionales.
- Experiencia con Git.
- Buenas prácticas de documentación y comunicación de resultados.
- Deseable: Experiencia con frameworks de machine learning (scikit-learn, XGBoost, LightGBM) y/o deep learning.
- Experiencia con infraestructuras en la nube, idealmente GCP (BigQuery, Dataflow, AI Platform).
- Familiaridad con herramientas de experimentación y tracking (MLflow, Great Expectations, etc.).
- Conocimiento en despliegue de modelos (Docker, APIs, MLOps básicos).
Benefits
- Presupuesto anual para autogestionar capacitación.
- Teletrabajo.
- Work from anywhere (¡Trabaja desde donde quieras! Solo recuerda tener una buena conexión a internet).
- Día del cumpleaños libre.
- Medio día cumpleaños hij@s/padres.
- Viernes cortos (todos los viernes terminamos a las 14 horas).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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