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📅 Jun 25
Data ScienceMachine LearningMlopsFeature Engineering

📜 Description

  • Lead end-to-end data science projects, focusing on feature engineering, modeling, interpretability, and MLOps.
  • Translate complex business problems into functional analytical architectures.
  • Ensure models meet operational stability standards before dataset freeze.
  • Collaborate with other engineers and share knowledge to enhance team growth.

🛠️ Requirements

  • Minimum 5 years of experience leading end-to-end data science projects.
  • 2-4 years of experience in data preparation, technical modeling, and functional validation for semi-senior profiles.
  • Expert in Python (pandas, scikit-learn) and advanced SQL for tabular models.
  • Experience with cloud data ecosystems and ML governance.
  • Certifications related to data science are highly valued.
Full job description

¡Únete a la Comunidad de Inteligencia Artificial y Arquitectura Avanzada de Rekluti! 🚀🌐

En Rekluti, impulsamos la evolución analítica de las organizaciones. Buscamos científicos de datos y especialistas en Machine Learning que dominen el ciclo end-to-end de los modelos predictivos y su despliegue productivo sobre arquitecturas empresariales en la nube.

Formar parte de este pool te permitirá liderar frentes críticos de ingeniería de características, modelado, interpretabilidad y MLOps, conectando las necesidades del negocio con soluciones de alto impacto y escala masiva.

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