{"id":4219707,"url":"https://alion.io/job/porvenir-cientificoa-de-datos-databricks","title":"Científico/a de Datos Databricks","company":{"id":708272,"name":"Porvenir","domain":"porvenir.com.co","url":"https://alion.io/company/porvenir","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bogotá, Colombia"],"countries":["CO"],"hiring_countries":["CO"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:00:00Z","board_verified":false,"closed_at":null,"days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"En Porvenir llevamos a cabo procesos de selección inclusivos y diversos basados en las habilidades de nuestros/as candidatos/as sin importar su género, raza, edad, religión, orientación sexual y discapacidad, con la visión de seguir siendo lideres en innovación y transformación.\n\nFormación Académica\n\nProfesional en Estadística, Matemática, Ingeniería, Economía, Ciencia de Datos o carreras afines.\n\nPropósito del Cargo\n\nDesarrollar modelos analíticos y predictivos que permitan transformar grandes volúmenes de datos en información estratégica para la toma de decisiones, generando valor al negocio mediante la identificación de oportunidades, la optimización de procesos y la mejora de la experiencia de clientes y usuarios.\n\nConocimientos Técnicos\n\nModelos predictivos y analítica avanzada.\n\nMachine Learning y técnicas estadísticas.\n\nProgramación en Python y/o R.\n\nDatabricks y MLflow.\n\nFeature Engineering.\n\nEvaluación, validación y optimización de modelos.\n\nInterpretabilidad y explicabilidad de modelos.\n\nAnálisis exploratorio de datos.\n\nVisualización y comunicación de resultados.\n\nModelos de segmentación, clasificación, regresión y pronóstico.\n\nExperiencia Requerida\n\nExperiencia en proyectos de analítica avanzada, modelos predictivos, inteligencia de negocios, análisis comercial, gestión de riesgos, optimización de procesos y generación de insights para la toma de decisiones estratégicas.\n\nCompetencias\n\nPensamiento analítico profundo.\n\nCapacidad para traducir datos en decisiones de negocio.\n\nOrientación al impacto y generación de valor.\n\nComunicación efectiva con audiencias técnicas y ejecutivas.\n\nCuriosidad intelectual y aprendizaje continuo.\n\nResolución de problemas complejos.\n\nInnovación y enfoque en resultados.\n\nResponsabilidades Principales\n\nDesarrollar, implementar y mantener modelos predictivos y analíticos que apoyen la toma de decisiones del negocio.\n\nAnalizar grandes volúmenes de datos para identificar patrones, tendencias y oportunidades de mejora.\n\nGenerar insights accionables que contribuyan al crecimiento de ingresos, eficiencia operativa y experiencia de clientes.\n\nDiseñar y ejecutar procesos de feature engineering para maximizar el desempeño de los modelos.\n\nValidar, monitorear y optimizar modelos en términos de precisión, estabilidad, impacto y explicabilidad.\n\nComunicar hallazgos y recomendaciones de manera clara a líderes de negocio y equipos interdisciplinarios.\n\nTrabajar conjuntamente con equipos de ingeniería de datos, arquitectura y negocio para implementar soluciones analíticas escalables y sostenibles.\n\nPromover el uso de analítica avanzada e inteligencia artificial como habilitadores de la estrategia organizacional.\n\nTe ofrecemos\n\nModalidad híbrida | Bogotá\n\nContrato a término indefinido\n\nHorario: Lunes a viernes","description_format":"text","description_chars":2781,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Colombia","iso":"CO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Pension & Sovereign Wealth Funds"],"lifecycle":[{"event":"open","at":"2026-11-13T03:56:45Z"}],"visa":[],"liveness":{"score":59,"band":"ok","label":"Likely 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