Principal Full Stack Data Scientist
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Job Description
Data Scientist responsible for designing ML pipelines and models at a tech company. Focusing on data engineering and generative AI solutions in LATAM remote position.
Responsibilities:
- Diseñar y construir pipelines de datos que alimenten los flujos de entrenamiento e inferencia de ML.
- Desarrollar, evaluar e iterar modelos de machine learning y estadísticos orientados a soluciones de negocio.
- Gestionar el ciclo de vida completo del modelo: desarrollo, validación, despliegue y monitoreo.
- Integrar herramientas de GenAI (LLMs, copilots, agentes) en el flujo de desarrollo diario para acelerar las entregas.
- Desplegar modelos en entornos de producción garantizando confiabilidad, rendimiento y mantenimiento del sistema.
- Colaborar con stakeholders para traducir problemas complejos de negocio en soluciones funcionales de ciencia de datos.
- Documentar el trabajo con claridad suficiente para que pueda ser mantenido y extendido por el equipo.
Requirements:
- Formación Profesional en Ingeniería de Sistemas, Computación, Ciencia de Datos, Matemáticas, Estadística o carreras afines con sólido trasfondo en ingeniería y desarrollo de software.
- Experiencia 5+ años de trayectoria comprobable liderando proyectos de ML de extremo a extremo — desde datos crudos hasta sistemas en producción.
- Experiencia práctica diseñando arquitecturas de datos y pipelines ETL/ELT.
- El uso cotidiano de herramientas de productividad basadas en GenAI es un requisito, no un diferencial.
- Dominio avanzado de Python y librerías principales de ML (scikit-learn, PyTorch o TensorFlow).
- Fundamentos sólidos de ingeniería de datos: diseño de pipelines, modelado de datos y procesos ETL/ELT.
- Experiencia práctica con herramientas de ingeniería de datos: dbt, Airflow, Spark o equivalentes.
- Dominio de SQL.
- Experiencia desplegando y monitoreando modelos en producción (Docker, FastAPI, servicios cloud de ML).
- Uso activo y profesional de herramientas de IA Generativa en el flujo de trabajo diario (Copilot, Cursor, agentes basados en LLM, ingeniería de prompts).
- Inglés avanzado (C1 o superior) — indispensable para comunicación con el equipo y stakeholders.
Benefits:
- Cultura de mejora continua , fresca y colaborativa, con oportunidades de aprendizaje y gente dispuesta a apoyarte.
- KaizenHub , un programa diseñado para potenciar tus talentos, con feedback , mentorías y coaching a través de Sofka U .
- Programas como Happy Kaizen y WeSofka que cuidan tu bienestar físico y emocional.
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