Salary
≈ $42k – $107k per year (Estimated)
Location
Hybrid (Buenos Aires, Argentina)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 31, 2026. Despegar scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Despegar is a Latin American online travel company that sells flights, hotels, vacation packages, car rentals and activities through its Despegar and Decolar websites and apps. It serves travelers across Argentina, Brazil, Mexico, Colombia, Chile and other countries in the region and also runs B2B travel distribution for agencies and partners. Founded in 1999, the company is headquartered in Buenos Aires, Argentina.
Backed by Accel, Insight Partners, Sequoia Capital
Buscamos un/a Senior Data Scientist para ayudar a construir la capa de inteligencia que impulsa la personalización, la optimización de marketing y el crecimiento a lo largo de todo el customer journey.
Este rol se encuentra en la intersección entre Data Science y Marketing, desarrollando modelos de machine learning que impactan a millones de clientes a través de web, app, CRM y canales de paid media. La persona ideal combina una sólida capacidad técnica con visión de negocio.
Será responsable de:
- Diseñar, desarrollar e implementar modelos de machine learning que mejoren la personalización, la conversión y el engagement de los usuarios.
- Traducir problemas de negocio en soluciones analíticas y modelos escalables.
- Trabajar junto a equipos de Producto, Marketing y Growth para identificar oportunidades donde Data Science pueda generar valor incremental.
- Garantizar que los modelos sean robustos, explicables y estén integrados en procesos reales de negocio.
- Monitorear continuamente el desempeño de los modelos e identificar oportunidades de mejora.
Requisitos:
- Estudiantes o graduados/as en disciplinas cuantitativas como Ingenierías en sistemas, actuarios, matemáticos (estudios de posgrado son un plus).
- Al menos 2 dos años de experiencia en Data Science, Machine Learning, Marketing Science o disciplinas afines.
- Sólidos conocimientos de estadística y técnicas de machine learning.
- Dominio de Python, SQL y herramientas modernas de análisis y modelado de datos.
- Experiencia construyendo modelos predictivos, sistemas de recomendación o algoritmos de optimización.
- Experiencia en A/B testing, inferencia causal y medición de incrementalidad.
- Experiencia trabajando con entornos cloud y modelos desplegados en producción es un plus.
- Experiencia en empresas de travel, e-commerce, marketplaces o productos digitales masivos es altamente valorada.
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