{"id":3291384,"url":"https://alion.io/job/ready-data-scientist","title":"Data Scientist","company":{"id":173864,"name":"Ready","domain":"ready.net","url":"https://alion.io/company/ready-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"worldwide","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Kedro","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Seaborn","optional":false},{"name":"XGBoost","optional":false}],"status":"closed","first_seen_at":"2026-10-18T04:19:26Z","employer_posted_date":null,"last_verified_at":"2026-10-29T16:15:00Z","board_verified":false,"closed_at":"2026-10-29T16:15:00Z","days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"Buscamos un Data Scientist con sólida experiencia en modelamiento estadístico y Machine Learning para integrarse a proyectos de implementación de alto impacto. La persona en este rol será responsable de transformar grandes volúmenes de datos en soluciones predictivas y accionables que resuelvan problemas concretos de negocio. Si tienes pasión por construir modelos robustos y trabajar con pipelines de datos bien estructurados, este es tu lugar.\nResponsabilidades principales\nAnalizar y procesar grandes volúmenes de datos estructurados y no estructurados para identificar patrones, tendencias y oportunidades de mejora en procesos de negocio.\n\nDiseñar, desarrollar y validar modelos estadísticos y de Machine Learning orientados a resolver problemas operacionales y generar valor medible para la organización.\n\nImplementar y mantener pipelines de datos reproducibles y escalables utilizando Kedro, asegurando trazabilidad y calidad en cada etapa del flujo de trabajo.\n\nConstruir y evaluar modelos de series de tiempo para pronóstico y detección de anomalías, seleccionando la metodología más adecuada según el contexto del problema.\n\nGenerar visualizaciones claras y comunicar hallazgos a stakeholders técnicos y no técnicos, apoyando la toma de decisiones basada en datos.\n\nColaborar con equipos de ingeniería y negocio en la definición de métricas de éxito, criterios de validación y estrategias de despliegue de modelos en producción.\n\nRequirements\nMínimo 3 años de experiencia en roles de Data Science, con participación en proyectos de implementación de modelos en entornos productivos.\n\nDominio de Python para análisis de datos, modelamiento estadístico y desarrollo de soluciones de Machine Learning, incluyendo el uso de scikit-learn y XGBoost.\n\nExperiencia en modelamiento de series de tiempo (ARIMA, Prophet, modelos basados en ML u otros enfoques) aplicado a contextos de negocio reales.\n\nConocimiento en estructuración de proyectos de datos con Kedro y manejo de librerías de análisis y visualización como SciPy, Seaborn y Matplotlib.\n\nCapacidad para evaluar, comparar y documentar modelos de forma rigurosa, utilizando métricas apropiadas según el tipo de problema (clasificación, regresión, forecasting).\n\nManejo de control de versiones con Git y buenas prácticas de desarrollo de software aplicadas a proyectos de ciencia de datos.\n\nHighlights💼 Modalidad: freelance (Contractor)📊 Full time L-V horario Chile🚀 Pago en USD🌎 Ubicación: 100% remoto LATAMDuración: 6 meses con posibilidad de renovación\nOriginally posted on Himalayas","description_format":"text","description_chars":2546,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecom Infrastructure","Field Service Management Software"],"lifecycle":[{"event":"open","at":"2026-10-26T19:52:56Z"},{"event":"close","at":"2026-10-29T16:15:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 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