{"id":3343495,"url":"https://alion.io/job/mercado-libre-data-scientist-ssr-","title":"Data Scientist SSR.","company":{"id":237,"name":"Mercado Libre","domain":"mercadolibre.com","url":"https://alion.io/company/mercado-libre","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":88,"open_postings":67,"ghost_share":0.015,"stale_share":0.373,"repost_share":0.104,"time_to_fill_p50_days":36,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bogotá, Colombia"],"countries":["CO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":45000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T13:25:29Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T06:39:51Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Descripción larga\nData Scientist\n¡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!\nConstruye 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.\nDesafíos:\nDiseñar y analizar experimentos A y B para medir el impacto real de iniciativas de producto y comunicación y responder preguntas clave del negocio.\nDefinir 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.\nDiseñar, 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.\nTransformar 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.\nExperiencia y conocimientos:\nAprender con agilidad en base a desafíos, potenciándote con tecnología y GenAI.\nApasionarse por salir de la zona de confort, dar el máximo, superar los propios límites y emprender en un ambiente sano, alegre y divertido.\nTener experiencia práctica y uso habitual de herramientas de IA generativa, incorporándolas al trabajo y evaluando sus resultados.\nAplicar modelos de machine learning, inferencia causal y ML causal, incluidos meta learners y causal forests, a problemas de negocio; 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