Salary
≈ $17k – $45k per year (Estimated)
Location
Hybrid (Bogotá, Colombia)
Seniority
Middle
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 8, 2026. Mercado Libre scores A on the Alion truth index.
Overview
Company
Impact
Profile match
MercadoLibre is a leading Latin American e-commerce and financial technology company founded in 1999. The organization operates a massive online marketplace connecting buyers and sellers across 18 countries, including major markets like Brazil, Mexico, and Argentina. Additionally, its digital payments platform, Mercado Pago, has expanded into a comprehensive fintech ecosystem offering digital wallets, payment processing, and credit services throughout the region.
Backed by Endeavor
Descripción larga
Data Scientist
¡Haz historia en la democratización del comercio y de los servicios financieros, transformando la vida de millones de personas en América Latina con Mercado Libre!
Construye la plataforma de experimentación para que los equipos midan el impacto de las iniciativas de producto y comunicación y tomen decisiones de negocio con evidencia sólida.
Desafíos:
- Diseñar y analizar experimentos A y B para medir el impacto real de iniciativas de producto y comunicación y responder preguntas clave del negocio.
- Definir métricas y enfoques analíticos adecuados para cada problema, validar la solidez de los resultados y aplicar métodos estadísticos, de inferencia causal y machine learning para generar insights y detectar oportunidades de mejora.
- Diseñar, validar e implementar en producción los métodos estadísticos de la plataforma de experimentación, incluidos el cálculo de poder estadístico, las pruebas secuenciales, la medición de efectos heterogéneos y los bandits, para que los equipos tomen decisiones mejor fundamentadas.
- Transformar aprendizajes en decisiones y soluciones escalables junto a los equipos de Producto, Ingeniería y negocio, y comunicar resultados y recomendaciones con claridad, conectando los análisis con su impacto.
Experiencia y conocimientos:
- Aprender con agilidad en base a desafíos, potenciándote con tecnología y GenAI.
- Apasionarse por salir de la zona de confort, dar el máximo, superar los propios límites y emprender en un ambiente sano, alegre y divertido.
- Tener experiencia práctica y uso habitual de herramientas de IA generativa, incorporándolas al trabajo y evaluando sus resultados.
- Aplicar modelos de machine learning, inferencia causal y ML causal, incluidos meta learners y causal forests, a problemas de negocio; conocer bandits y experimentos adaptativos.
- Dominar Python y SQL, con fundamentos sólidos de estadística, diseño experimental y análisis de datos, idealmente en productos digitales.
Conoce más sobre nuestra cultura y negocio en nuestro Career Site.
¡Lo mejor está llegando!
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